Ghassan Samara
@zu.edu.jo
Zarqa University
Scopus Publications
- A comprehensive review of Fuzzy Rule-based systems: Foundations, evolution, and future directions
Mohamed Hegazi, Khalil Chebil, Bandar Almaslukh, Ghassan Samara, Sultan Abdullah Alqahtani
Computer Science Review, 2026 - An Intelligent Fuzzy Protocol with Automated Optimization for Energy-Efficient Electric Vehicle Communication in Vehicular Ad Hoc Network-Based Smart Transportation Systems
Ghassan Samara, Ibrahim Obeidat, Mahmoud Odeh, Raed Alazaidah
World Electric Vehicle Journal, 2026
Vehicular ad hoc networks (VANETs) operating in dense urban environments are characterized by highly dynamic topology, fluctuating traffic conditions, and stringent latency requirements, which significantly complicate reliable data routing and packet forwarding. To address these challenges, this paper proposes an Intelligent Fuzzy Protocol (IFP) for adaptive vehicle-to-vehicle data routing under uncertain and rapidly changing traffic scenarios. The proposed protocol integrates fuzzy logic decision making with the real-time vehicular context, including vehicle velocity, traffic congestion level, distance to road junctions, and data urgency, to dynamically select appropriate forwarding actions. IFP employs a structured fuzzy inference engine comprising fuzzification, rule evaluation, inference aggregation, and centroid-based defuzzification to determine routing and forwarding decisions in a decentralized manner. To further enhance performance robustness, the fuzzy membership parameters and rule weights are optimized using metaheuristic techniques, namely, genetic algorithms (GAs) and particle swarm optimization (PSO). Extensive simulations are conducted using NS-3 coupled with SUMO under realistic urban mobility scenarios and varying network densities. The simulation results demonstrate that IFP significantly outperforms conventional routing approaches in terms of end-to-end delay, packet delivery ratio, and routing overhead. In particular, the optimized IFP variants achieve notable reductions in latency and improvements in delivery reliability under high-congestion conditions, while maintaining low computational and communication overhead. These findings confirm that IFP offers an interpretable, scalable, and energy-aware routing solution suitable for large-scale intelligent transportation systems and next-generation vehicular networks. - Bias and Fairness in NLP: Addressing Social and Cultural Biases
Sattam Almatarneh, Ahmed BaniMustafa, Ghassan Samara, Raed Alazaidah, Qasem Obeidat
Lecture Notes in Computer Science, 2026 - Implement Machine Learning to Schedule Instructions to Speed Up Execution: AI-Powered Microprocessor and Microcontroller Compiler Optimization
Ganesamoorthy Rajendran, Ghassan Samara, Johnsi Rani J, Navyatha Ravi, G. Karthikeyan, R. Ruth Shobitha
2025 IEEE Pune Section International Conference Punecon 2025, 2026
Microprocessor and microcontroller are the key in today computing, in view of the important of executing instruction in a system, the instruction execution time is critical for the system performance and the time is known as instruction execution time. Classical optimization in compilers uses heuristic or static scheduling rules that can hardly adapt for increasing complexity due to instruction-level parallelism, heterogeneity, and real-time constraints. In this regard, machine learning (ML) is an attractive solution, which has the potential to provide intelligent, data-driven instruction scheduling and compiler optimizations that can take cognizance of diverse hardware and software state. This work presents a new approach that utilizes machine learning in the compiler pipeline for instruction scheduling of microprocessors and microcontrollers. The primary goal is to minimize runtime by predicting best instruction sequences according to runtime behaviors of programs, the architectural features of the processor and instruction execution history. By viewing instruction scheduling as a learning problem, we can use several popular ML models like decision trees, reinforcement learning agents, and graph neural networks to analyze instruction-dependencies, predict stalls, and generate schedules that minimize pipeline hazards and maximizes the usage of the available CPU resources. The approach is composed of offline learning with models trained using numerous compiled code traces, and online adaptation where reinforcement learning methods adapt scheduling policies at runtime or during recompilation. Training feature vectors includes instruction categories, dependency kat verses, memory access sen patterns, and branch probabilities. The resulting ML-aided compiler outputs optimized intermediates to be projected to the target assembly instructions, given by execution latency and power efficiency for embedded domains. Performance evaluation over benchmark suites, such as SPEC, MiBench, and custom embedded workloads indicates that the ML based scheduling approach can lead to 20-35 % better execution time reduction compared with baseline LLVM and GCC compilers. Furthermore, we also notice enhancements towards the instruction level parallelism and the reduction in register pressure, specially on loop/and control-flow-intensive code regions. The ML models show good transferability across microcontroller families (such as ARM Cortex-M, RISC-V cores) with minimal retraining. This work highlights the innovation potential of AI-assisted compiler design, especially within the real-time and low-power computation domain. By combining classic compiler theory with machine learning ideas, the research opens ways to intelligent automate processor designing and embedded systems developing. The work not only makes progress in instruction scheduling techniques, but also demonstrates a general concept for autonomous compiler optimization, of great importance for the era of AI-driven and heterogeneous computing. - AN INTELLIGENT WEB APPLICATION FIREWALL FUZZING FRAMEWORK INTEGRATED WITH BLOCKCHAIN TECHNOLOGY FOR SECURE PAYLOAD ANALYSIS AND TRACEABILITY
Dena Abu Laila, Ibrahim Moh'd Obeidat, Mohammed Aman, Bandar Altubaishe, Mahmoud Odeh, et al.
Scientific Culture, 2026
Web Application Firewalls (WAFs) perform as a dangerous security component protecting web applications from various attack vectors. However, their effectiveness against modern evasion techniques remains a significant concern in cybersecurity. This paper presents an intelligent WAF fuzzing framework that incorporate blockchain technology for secure logging, traceability, and comprehensive analysis of payload evasion attempts. Our proposed system employs an adaptive payload gen- eration engine that utilizes machine learning algorithms to create modern attack vectors that target SQL injection, cross-site scripting (XSS), and command injection vulnerabilities. The framework conducts systematic fuzzing attacks against many WAF-protected sites while logging each attempt in an unchangeable blockchain record, ensuring tamper-proof audit trails. Through comprehensive experimental evaluation in 12 commercial and open-source WAF solutions using more than 50,000 generated payloads, our framework demonstrates superior capability to identify previously unknown bypass techniques. The integrated analytics dashboard provides a comparative real-time analysis of WAF effectiveness, allowing security researchers to determine protection gaps and understand emerging attack patterns. The results indicate that our intelligent approach achieves a 34% enhancement in evasion detection compared to conventional fuzzing methods while maintaining complete traceability through blockchain integration. The framework successfully identified 347 novel bypass techniques and achieved consensus validation with 99.8% accuracy across distributed invalidator nodes. - ENHANCING SUSTAINABILITY IN WIRELESS SENSOR NETWORKS THROUGH PSO-BASED CLUSTER OPTIMIZATION AND ADAPTIVE SINK MOBILITY
Ghassan Samara, Eyad A. Shaban, Hasan Al-Refai, Mohammed M. Aman, Mahmoud Odeh, et al.
Scientific Culture, 2026
Wireless Sensor Networks (WSNs) represent a fundamental part of current Internet of Things (IoT) systems, allowing for constant monitoring in smart cities, the environment, and industrial systems. However, a fundamental limitation of these networks over long-term operation is uneven energy consumption and the energy-hole problem that arises around a static sink. To address these issues, this paper presents PSO-MSM, a sustainability-oriented communication protocol that combines multi-objective Particle Swarm Optimization (PSO) and adaptive mobile sink mobility. The protocol optimizes cluster head (CH) selection and dynamically adjusts the sink’s trajectory through multi-radius circular paths to balance the forwarding load across the sensing field. Optimization is performed jointly with consideration of residual energy, intra-cluster compactness, and the proximity of each CH to the sink. This coordinated clustering-mobility design reduces long-distance transmissions, relieves hotspot depletion, and improves overall energy sustainability. Extensive ns-3 simulations demonstrate that PSO-MSM significantly enhances network lifetime, increasing the time to first-node-dead, half-nodes-dead, and last-node-dead events by 46% compared with LEACH, HEED, and PEGASIS. The protocol also achieves higher residual energy, improved packet delivery ratio, reduced end-to-end delay, decreased channel congestion, and significantly lower energy imbalance. These results indicate that PSO-MSM provides an effective solution for smart city and IoT deployments, offering reliability, reduced maintenance, and improved sustainability for long-term operations where these issues are a major priority. - Integrating Blockchain and AI for the Internet of Things: A Comprehensive Overview
Ghassan Samara, Abeer Al-Mohtaseb, Raed Alazaidah, Essam Al Daoud, Mohammad Jaidi, Mo’ath Alluwaici, Mahmoud Odeh
Studies in Systems Decision and Control, 2026 - Prediction of Malware Threats using Machine Learning Techniques
Raed Alazaidah, Ghassan Samara, Mohammad Aljaidi, Mais Haj Qasem, Abdullah Al-Qammaz, Mohammad Rasmi Al-Mousa, Wael Hadi
Wseas Transactions on Computer Research, 2026
Machine learning has been used for decades to analyze vast datasets, classify and cluster data, and make predictions using algorithms. One of its top use areas is cybersecurity, where it can help detect and prevent destructive threats such as malware. The use of machine learning in cybersecurity has proven to be a powerful tool in detecting and predicting malware attacks. In recent years, the number of Internet users has greatly increased and with it the number of malware attacks. This has made predicting malware a challenge. Consequently, to date, there is still a need to examine the numerous existing MLs’ performance. This study is presented to identify the best classification model for predicting malware using two datasets and 18 different classifiers belonging to six learning strategies. The results showed that the RandomForest classifier had the highest accuracy, precision, recall, F1-measure, and ROC Area metrics, Moreover, Trees and Bayes learning strategies showed the best predictive performance on the two datasets compared with the other five learning strategies. - An Innovative Mathematical Approach to Implementing Cloud-Based IT Infrastructure
Applied Mathematics and Information Sciences, 2026 - Medical Diagnosis Using Hybrid of Machine Learning and Deep Learning Techniques
Raed Alazaidah, Moath Alomari, Hamza Mashagba, Musab Iqtait, Azlan B. Abd Aziz, Hayel Khafajeh, Omar Khair Alla Alidmat, Ghassan Samara, Haneen Alzoubi, Samir Salem Al-Bawri
International Journal of Advanced Computer Science and Applications, 2025
The rapid development of medical practices and imaging technology tools creates substantial growth in the amount of medical image data each year in our present era. This research aims to develop a hybrid approach that integrates Machine Learning (ML) and Deep Learning (DL) techniques to enhance the accuracy and reliability of medical image classification for diagnostic purposes. Medical imaging data complexity and growing volume serve as the research motivation, which leads to an investigation of standalone ML or DL limitations and their combination into a single framework. The medical image processing starts with normalization, then noise reduction, and continues to grayscale conversion before performing histogram equalization. This research uses VGG16 and ResNet50 alongside MobileNet and InceptionV3 for feature extraction, then applies ten different ML algorithms, including SVM and MLP, and Ran-dom Forest, for classification. Five public medical image datasets from Kaggle are used: COVID-19 chest X-rays, melanoma skin lesions, pneumonia chest X-rays, acute stroke facial images, and various eye diseases. Hybrid models display superior performance compared to stand-alone ML or DL models based on accuracy, precision, recall, and F1-score evaluation measures. Multiple datasets demonstrate that the MobileNet+MLP combination de-livers the most accurate results, which demonstrates its reliable and efficient performance. The developed AI diagnostic tool presents a scalable system alongside accuracy and interpretability to enhance clinical decision outcomes. - Breast Cancer Classification Using Deep Feature Extraction and Machine Learning
Raed Alazaidah, Ghassan Samara, Hamza Abu Asi, Suhaila Abuowaida, Hamza A. Mashagba, Azlan Abd Aziz, Samia Larguech, Samir S. Al-Bawri
Hightech and Innovation Journal, 2025 - Mathematical Analysis of the Elements Affecting Mobile Cloud Computing Adoption in the Technological Age
Journal of Statistics Applications and Probability, 2025 - Strategic Optimization of Convergence and Energy in Federated Learning Systems
Ghassan Samara, Raed Alazaidah, Ibrahim Obeidat, Mohammad Aljaidi, Mahmoud Odeh, Alaa Elhilo, Sattam Almatarneh, Mo’ath Alluwaici, Essam Aldaoud
International Arab Journal of Information Technology, 2025 - Protecting data in the 5G era: A critical review of cryptographic techniques for mobile cloud computing
Malak Al-Majali, Mohammad Aljaidi, Qais Al-Naamneh, Ghassan Samara, Ayoub Alsarhan, Braa Qadoumi
Cryptography Biometrics and Anonymity in Cybersecurity Management, 2025 - Agile Proactive Cybercrime Evidence Analysis Model for Digital Forensics
Mohammad Al-Mousa, Waleed Amer, Mosleh Abualhaj, Sultan Albilasi, Ola Nasir, Ghassan Samara
International Arab Journal of Information Technology, 2025 - Arabic fake news detection using hybrid contextual features
Hussain Mohammed Turki, Essam Al Daoud, Ghassan Samara, Raed Alazaidah, Mais Haj Qasem, Mohammad Aljaidi, Suhaila Abuowaida, Nawaf Alshdaifat
International Journal of Electrical and Computer Engineering, 2025 - Comparing Open Source with Software Code Generated by AI Tools from Software Maintainability Quality Factor Perspective
Hamed J. Fawareh, Hazim M. Al-Shdaifat, Ghassan Samara
Wseas Transactions on Computer Research, 2025 - CCSAR—Cloud Computing Security Architecture and Risks
Prakhar Arora, Hemraj Shobharam Lamkuche, Hanan Abu-Mariah, Ghassan Samara
Studies in Systems Decision and Control, 2025 - Harnessing Machine Learning for Ocular Disease Detection: Performance Evaluation of Gradient Boosting Models
Ragini Y P, Ghassan Samara, Swathi B, N E Chandra Prasad
2025 IEEE 2nd International Conference on Information Technology Electronics and Intelligent Communication Systems Iciteics 2025, 2025 - Securing the Cloud Environment: A Defense Mechanism Against DDoS Attack
Khushbu Dadhe, Hemraj Shobharam Lamkuche, Emma Qumsiyeh, Ghassan Samara
Studies in Systems Decision and Control, 2025 - A Comparative Evaluation of Vision-Language Models and a Hybrid Pipeline for Image Question Answering
Essam Al Daoud, Ghassan Samara, Ala'a Saeb Al-Sherideh, Laith Al Daoud
2025 6th International Conference on Machine Learning and Computer Application Icmlca 2025, 2025 - Transformative Asset Management Strategies: Insights from NIST CSF
Shreeganesh D. Jadhav, Hemraj Shobharam Lamkuche, Mohammad Temeiza, Ghassan Samara
Studies in Systems Decision and Control, 2025 - Deep Learning Based Analysis of the Key Scheduling Algorithm of AES Cipher
Narendra Kumar Patel, Praveen Lalwani, Hemraj Shobharam Lamkuche, Ghassan Samara, Hanan Abu-Mariah
Studies in Systems Decision and Control, 2025 - Hybrid Ensemble DL Model for Breast Cancer Detection and Classification with Enhanced Breast Lesion Segmentation using U-Net Model
M. Panneer Selvam, T. Seshaiah, I. Saidulu, Ghassan Samara, Aravinda K
Proceedings 2025 International Conference on Recent Innovation in Science Engineering and Technology Icriset 2025, 2025 - A Hybrid Scheme of ALO-GA for Localization of Urban PEVS Charging Infrastructure
Mohammad Aljaidi, Rami Almatarneh, Ghassan Samara, Mohammad BaniSalman, Ayoub Alsarhan
Proceedings 9th International Conference on Computer Software and Modeling Iccsm 2025, 2025 - Behavioral Profiling of Android Malwares: A Dynamic Analysis Approach
Sreshtha Bhushan, Soma Saha, Hemraj Shobharam Lamkuche, Ghassan Samara, Jamil Itmazi
Studies in Systems Decision and Control, 2025 - Establishment of Security Threats in 5G Networks with Blockchain-Integrated Authentication Protocols and Federated Learning
Deepthi KVBL, Ghassan Samara, E. N. Vijaya Kumari, G. Karthikeyan, V. Samuthira Pandi, R. Mancy Mesilla
2025 IEEE 2nd International Conference on Information Technology Electronics and Intelligent Communication Systems Iciteics 2025, 2025 - Implementation of Quantum State Encodings for Accelerated Pattern Recognition in High-Dimensional Visual Data: A Quantum Perspective on Image Processing
Karpagam P, Ghassan Samara, V.Samuthira Pandi, Gopi M, M. Ashok Babu, G. Karthikeyan
2025 IEEE 7th International Conference on Computing Communication and Automation Iccca 2025, 2025 - Automatic Analysis of Blood Cell Images for Malaria Detection with Fused Deep Features
P Jeyakani, Ghassan Samara, P Illavarason, Ravi Gangadharolla, M Sai Teja Sree, Timmapuram Vyshnavi Reddy
2025 2nd International Conference on Computing and Data Science Iccds 2025, 2025 - Integration of Augmented Reality (AR) for Big Data Development: Insightful Visualization and Detection of Patterns in Multidimensional Datasets
Karpagam P, Ghassan Samara, V. Samuthira Pandi, Jeya Caleb J, K. Srinija, G. Karthikeyan
2025 IEEE 2nd International Conference on Information Technology Electronics and Intelligent Communication Systems Iciteics 2025, 2025 - Hybrid Harris Hawks and Dwarf Mongoose Optimization with Task Scheduling for Disaster Management in an Internet-Based Environment
G Lakshmi Vara Prasad, Ghassan Samara, Tagore Kumar P, Devolla Manogna, Balasubramanian. V, Asha V
Proceedings 2025 International Conference on Recent Innovation in Science Engineering and Technology Icriset 2025, 2025 - Hybrid Clustering Algorithm and Linear Predictive Coding for Cross-Tier Security Integrated Wireless Body Area Network
Dharani Buddha, Sk Himam Basha, Ghassan Samara, Vemuri Nitin, Jeyaprakash. N, Revathi V
Proceedings 2025 International Conference on Recent Innovation in Science Engineering and Technology Icriset 2025, 2025 - Reliable and Systematic Diabetes Prediction Based on Health Indicators using Machine Learning Algorithm
D. Arulanantham, Ragini Y P, Ghassan Samara, Anandhi R J, J. Sunil Kumar, N. Vani
Proceedings 2025 International Conference on Recent Innovation in Science Engineering and Technology Icriset 2025, 2025 - Forensic Framework for Deleted Media of WhatsApp on Windows
Shraddha Pandey, Rizwan Ur Rahman, Ajay Kumar Phulre, Ghassan Samara, Hemraj Shobharam Lamkuche, Asma Sbaih
Studies in Systems Decision and Control, 2025 - Deep Dive into Malware Analysis and Their Behavior Patterns: A Systematic Technical Review
Srishti Singh, Hemraj Shobharam Lamkuche, Devraj Vishnu, Ghassan Samara, H. Azath, Emma Qumsiyeh
Studies in Systems Decision and Control, 2025 - Nanoparticle Assisted Early Treatment of Regional Skin Invasion Caused by Glioblastoma Multiforme Micro-Environment
K Bhaskara Rao, Ghassan Samara, T Ashok Babu, N Karthik, N.Chidambararaj, Swathi B
Proceedings 2025 International Conference on Recent Innovation in Science Engineering and Technology Icriset 2025, 2025 - Anomaly Detection Technique for Network Intrusion Detection Using Ensemble Algorithm
Saniya Gouri, Devraj Vishnu, Rizwan ur-Rehman, Ghassan Samara, Hemraj Shobharam Lamkuche, Sameh Taqatqa
Studies in Systems Decision and Control, 2025 - Secure Routing in VANET Systems Using Fog Computing and Software Defined Networks
and Ghassan Samara
International Journal of Advances in Soft Computing and Its Applications, 2025 - Mathematical Analysis of Managerial Influences on Mobile Cloud Computing
Applied Mathematics and Information Sciences, 2025 - Quantifying the Managerial and Practical Benefits of Cloud Computing on Information Security in Higher Education Institutions
Applied Mathematics and Information Sciences, 2025 - Leveraging Artificial Intelligence for Sustainable Cloud Computing: Transitioning from Physical to Virtual Machines
Applied Mathematics and Information Sciences, 2025 - Optimized soft-voting CNN ensemble using particle swarm optimization for endometrial cancer histopathology classification
Firas Ibrahim AlZobi, Khalid Mansour, Ahmad Nasayreh, Ghassan Samara, Neda’a Alsalman, Ayah Bashkami, Aseel Smerat, Khalid M.O. Nahar
Computer Methods and Programs in Biomedicine Update, 2025 - Review the Challenges Associated with Steganography Using Artificial Intelligence Techniques
Mohammad Rasmi Al-Mousa, Sultan Mohammed Albilasi, Malak Hamad Al-mashagbeh, Mahmoud Asassfeh, Mahmoud Odeh, Khaled AlQawasmi, Ghassan Samara, Dena Abu Laila
2025 1st International Conference on Computational Intelligence Approaches and Applications Icciaa 2025 Proceedings, 2025 - A Novel Scheme to Optimize LSB Steganography Based on a Logistic Chaotic Map and Genetic Algorithm
Dena Abu Laila, Ibrahim Moh’d obeidt, Mohammad Aljaidi, Mohammed Amin Almaiah, Muneer AlBourini, Qais Al-Na'amneh, Ghassan Samara, Rami Shehab, Khaled Momani
Iraqi Journal for Computer Science and Mathematics, 2025 - Prediction of Landslides Using Data Mining Techniques
Applied Mathematics and Information Sciences, 2025 - Diagnosing diabetes mellitus using machine learning techniques
Mazen Alzyoud, Raed Alazaidah, Mohammad Aljaidi, Ghassan Samara, Mais Haj Qasem, Muhammad Khalid, Najah Al-Shanableh
International Journal of Data and Network Science, 2024 - Arabic sentiment analysis of Monkeypox using deep neural network and optimized hyperparameters of machine learning algorithms
Hasan Gharaibeh, Rabia Emhamed Al Mamlook, Ghassan Samara, Ahmad Nasayreh, Saja Smadi, Khalid M. O. Nahar, Mohammad Aljaidi, Essam Al-Daoud, Mohammad Gharaibeh, Laith Abualigah
Social Network Analysis and Mining, 2024 - Enhanced Magnetic Resonance Imaging-Based Brain Tumor Classification with a Hybrid Swin Transformer and ResNet50V2 Model
Abeer Fayez Al Bataineh, Khalid M. O. Nahar, Hayel Khafajeh, Ghassan Samara, Raed Alazaidah, Ahmad Nasayreh, Ayah Bashkami, Hasan Gharaibeh, Waed Dawaghreh
Applied Sciences Switzerland, 2024 - A particle swarm optimizer-based optimization approach for locating electric vehicles charging stations in smart cities
Mohammad Aljaidi, Ghassan Samara, Manish Kumar Singla, Ayoub Alsarhan, Mohammad Hassan, Murodbek Safaraliev, Pavel Matrenin, Alexander Tavlintsev
International Journal of Hydrogen Energy, 2024 - Optimizing Performance in Wireless Sensor Networks through a Multi-Objective Rendezvous Points Selection Algorithm
Ghassan Samara, Wafaa Alzyoud, Mohammad Aljaidi, Raed Alazaidah, Mais Haj Qasem, Essam Al Daoud
International Journal of Interactive Mobile Technologies, 2024 - Enhanced Machine Learning Based Network Traffic Detection Model for IoT Network
Mazen Alzyoud, Najah Al-shanableh, Eman Nashnush, Rabah Shboul, Raed Alazaidah, Ghassan Samara, Safaa Alhusban
International Journal of Interactive Mobile Technologies, 2024 - Green Communication in IoT for Enabling Next-Generation Wireless Systems
Mohammad Aljaidi, Omprakash Kaiwartya, Ghassan Samara, Ayoub Alsarhan, Mufti Mahmud, Sami M. Alenezi, Raed Alazaidah, Jaime Lloret
Computers, 2024 - Securing cryptocurrency transactions: Innovations in malware detection using machine learning
Ghassan Samara, Abeer Al-Mohtaseb, Hayel Khafajeh, Raed Alazaidah, Omar Alidmat, Ahmad Nasayreh, Mazen Alzyoud, Najah Al-shanableh
International Journal of Data and Network Science, 2024 - AFARM: Anxiety-Free Autonomous Routing Model for Electric Vehicles with Dynamic Route Preferences
Ahmad Nahar Quttoum, Ayoub Alsarhan, AbiAlrahman Moh'd, Mohammad Aljaidi, Gassan Samarah, Muteb Alshammari
International Journal of Interactive Mobile Technologies, 2024 - Arabic Sentiment Analysis for ChatGPT Using Machine Learning Classification Algorithms: A Hyperparameter Optimization Technique
Ahmad Nasayreh, Rabia Emhamed Al Mamlook, Ghassan Samara, Hasan Gharaibeh, Mohammad Aljaidi, Dalia Alzu'bi, Essam Al-Daoud, Laith Abualigah
ACM Transactions on Asian and Low Resource Language Information Processing, 2024 - An Algorithm for Arabic Semantic Matching Using New WordNet Tree
Zainab Omer, Essam Al Daoud, Ghassan Samara, Yaser Al-Lahham
Studies in Systems Decision and Control, 2024 - Exploring the Effectiveness of Different Embedding Methods for Toxicity Classification
Essam Al-Daoud, Ghassan Samara, Mutaz Rsmi Abu Sara, Sameh Taqatqa, Mohammad Kanan
Studies in Systems Decision and Control, 2024 - Integrated Approaches to Steganography: Embedding Static Information Across Audio, Visual, and Textual Formats
Omar Allasasmh, Dena Abu Laila, Mohammad Aljaidi, Ayoub Alsarhan, Ghassan Samara
2024 International Jordanian Cybersecurity Conference Ijcc 2024, 2024 - Advancements and Challenges in the Internet of Drones Security Issues: A Comprehensive Review
Amani Abu-Zaid, Mohammad Aljaidi, Qais Al-Na'amneh, Ghassan Samara, Ayoub Alsarhan, Braa Qadoumi
Machine Intelligence Applications in Cyber Risk Management, 2024 - Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models
Raed Alazaidah, Ghassan Samara, Mohammad Aljaidi, Mais Haj Qasem, Ayoub Alsarhan, Mohammed Alshammari
Diagnostics, 2024 - Investigating Principle Component Analysis Impact on the Performance of Machine Learning Classifiers: A Health Informatics Application
Ahmed BaniMustafa, Sattam Almatarneh, Olla Bulkrock, Raed Alazaidah, Hossam Almahasneh, Ghassan Samara
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Intelligent Edge: The Intersection of Artificial Intelligence and Digital Communication—A Survey
Ghassan Samara, Essam Al Daoud, Raed Alazaidah, Mais Haj Qasem, Mohammad Aljaidi, Mazen Alzyoud, Halah Nasseif
Studies in Systems Decision and Control, 2024 - Improving Timetable Quality Through Multi-objective Optimization: A Case Study on Post-enrolment Course Scheduling
Nabeel Al-Milli, Yazan Alaya AL-Khassawneh, Ghassan Samara, Maram Y. Al-Safarini, Ala’a Al-Shaikh, Mahmoud Asassfeh, Emma Qumsiyeh
Studies in Computational Intelligence, 2024 - Website Phishing Detection Using Machine Learning Techniques
R. Alazaidah, A. Al-Shaikh, M. Al-Mousa, H. Khafajah, G. Samara, M. Alzyoud, N. Al-Shanableh, S. Almatarneh
Journal of Statistics Applications and Probability, 2024 - An Assessment of Obfuscated Bad Rabbit Ransomware Detection and Prevention Methods
Mohammad Aljaidi, Mohammad Hassan, Ghassan Samara, Ayoub Alsarhan, Raed Alazaidah, Sattam Almatarneh, Hamzah Aljawawdeh, Syed Muqtar Ahmed
Studies in Systems Decision and Control, 2024 - Enhancing IoT device security: CNN-SVM hybrid approach for real-time detection of DoS and DDoS attacks
Qais Al-Na’amneh, Mohammad Aljaidi, Ahmad Nasayreh, Hasan Gharaibeh, Rabia Emhamed Al Mamlook, Ameera S. Jaradat, Ayoub Alsarhan, Ghassan Samara
Journal of Intelligent Systems, 2024 - Bridging Machine Learning and Formal Concept Analysis for Effective Crowd Detection
Anas M. Al-Oraiqat, Oleksandr Drieiev, Ghassan Samara, Sattam Almatarneh, Karim A. Al-Oraiqat, Hazim Alrawashdeh, Hanna Drieieva, Ali Elrashidi, Yassin M. Y. Hasan
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Securing Internet of Vehicles IoV Communications: A Biometric and Hash-Key Derivation Function HKDF-Based Approach
Hanay Almomani, Ayoub Alsarhan, Mahmoud AlJamal, Mohammad Aljaidi, Tamam Alsarhan, Bashar Khassawneh, Abdelrahman Alfaqih, Ghassan Samara, Manish Kumar Singla
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Application of Machine Learning in Mental Diseases Diagnosis
Rahaf Alsawi, Raed Alazaidah, Ghassan Samara, Haneen Alzoui, Omar Alidmat, Esraa Abu Elsoud, Mohammed Talat Khouj, Anwar Katrawi, Mo’Ath Alluwaici
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Penetration Testing Overview-Opportunities and Ethical Considerations: Literature Notes
Mahmoud Asassfeh, Ghassan Samara, Ali Abu Zaid, Dena Abu Laila, Shouq Al-Anzi, Abdullah Alqammaz, Ahmad Al Smadi, Ala'a Al-Shaikh, Mohammad Rasmi Al-Mousa
2024 International Jordanian Cybersecurity Conference Ijcc 2024, 2024 - An Overview of Tools and Techniques in Network Forensics
Mahmoud Asassfeh, Mohammad Rasmi Al-Mousa, Hasan Al-Dweikat, Malak Hamad Al-Mashagbeh, Suha Afaneh, Ghassan Samara, Ali Abu Zaid, Mohammed Khouj, Essam Al Daoud
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Proactive Insider Threat Detection Using Facial and Behavioral Biometrics
Hanay Almomani, Ayoub Alsarhan, Mahmoud AlJamal, Mohammad Aljaidi, Tamam Alsarhan, Bashar Khassawneh, Ghassan Samara, Manish Kumar Singla, Ahmed BaniMustafa
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - A secure IoT limited Devices by applying Multi-Round Lightweight Cryptography
Mohammad Rasmi Al-Mousa, Mohammad Abdulqawi, Hazem Jihad Badarneh, Ala’a Al-Shaikh, Mahmoud Asassfeh, Ala'a Saeb Al-Sherideh, Ghassan Samara, Ali Elrashidi, Raed Alazaidah
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Multi Label Classification Based on Ensemble Learning: Investigative Study
Ola Nasir, Raed Alazaidah, Wael Hadi, Ghassan Samara, Essam Al Daoud, Suhaila Abu Owaida, Ali Elrashidi, Esraa Abu Elsoud, Haneen Alzoubi
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - The power of Network Penetration Testing
Hazem Jihad Badarneh, Loai Ahmad Attiany, Mahmoud Asassfeh, Ala’A Al-Shaikh, Suha Afaneh, Mohammed M. Abu Shquier, Nabeel Al-Milli, Ali Elrashidi, Ghassan Samara
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Harnessing ML and NLP for Enhanced Cybersecurity: A Comprehensive Approach for Phishing Email Detection
Mahmoud AlJamal, Rabee Alquran, Mohammad Aljaidi, Osama S AlJamal, Ayoub Alsarhan, Issa Al-Aiash, Ghassan Samara, Mohammad BaniSalman, Mohammad Khouj
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - IoT Security Based On Lightewight Cryptographic (LWC) Algorithms: A survey
Mohammad Rasmi Al-Mousa, Samah Suleiman Al-Zou'bi, Sami Askar, Khaled AlQawasmi, Ala'a Saeb Al-Sherideh, Ghassan Samara, Rami Almatarneh, Mohammed Khouj, Mahmoud Odeh
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Diabetes Prediction Using Machine Learning Techniques: A Case Study from Jordan
Raed Alazaidah, Radwan Batyha, Ghassan Samara, Esraa Al Henawi, Maram Y. Al-Safarini, Ahmad A. Samhan, Ali Elrashidi, Mo’Ath Alluwaici, Deana Al-Omari
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Machine Learning as the Shield: Mitigating ARP Poisoning Attacks in Software Defined Networks
Rabee Alquran, Mahmoud Al Jamal, Mohammad Aljaidi, Mohammad AL-Jamal, Bashar Khassawneh, Ayoub Alsarhan, Omar Alidmat, Ghassan Samara, Sattam Almatarneh
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Main Confidentiality Challenges in Network Security: A Literature Review
Mahmoud Asassfeh, Mohammad Rasmi Al-Mousa, Waleed Amer, Adai Mohammad Almomani, Ala’a Al-Shaikh, Suha Afaneh, Mohammed Nayef Alrefai, Ali Elrashidi, Ghassan Samara
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Deep Learning Approaches for Malware Detection in the Industrial Internet of Things: A Comprehensive Analysis
Ghassan Samara, Mohammad Abu Fadda, Abeer Al-Mohtaseb, Raed Alazaidah, Alrefai Mohamed N., Mahmoud Odeh, Mohammad Aljaidi, Mohammed Mahmod Shuaib, Mohammad Kanan
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - A Comprehensive Review of VANET Attacks: Predictive Models, Vulnerability Management, and Defense Selection
Abeer Al-Mohtaseb, Ali Qasim Hanoon, Ghassan Samara, Essam Al Daoud, Omar Alidmat, Radwan Batyha, Mohammad Aljaidi, Raed Alazaidah, Ali Elrashidi
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Prediction of Hypertension Disease Using Machine Learning Techniques: Case Study from Jordan
Raed Alazaidah, Ghassan Samara, Anwar Katrawi, Wael Hadi, Maram Y. Al-Safarini, Farah Al-Mamoori, Ali Elrashidi, Muhyeeddin Alqaraleh, Haneen Alzoubi
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Enhancing Convergence Efficiency in Federated Learning Models
Ghassan Samara, Ala'Mazen Elhilo, Mohammad Aljaidi, Amneh Alamleh, Mohammad Rasmi Al-Mousa, Radwan Batyha, Raed Alazaidah, Alaa Bani-Bakr, Ali Elrashidi
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Efficient Road Status Monitoring in Vehicular Ad-Hoc Networks: An Optimization Framework
Ghassan Samara, Hussain Mohammed Turki, Mahmoud Odeh, Anas Al-Oraiqat, Mohammad Aljaidi, Raed Alazaidah, Mohammad Rasmi Al-Mousa, Ahmed BaniMustafa, Mohammad Kanan
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Using Artificial Intelligence Techniques in Law Enforcement: A Survey
Ala’a Al-Shaikh, Ashraf Hasan AlAlfi, Esam Y. A. Al-Nsour, Suha Afaneh, Ghassan Samara, Khaled AlQawasmi, Nabeel Al-Milli, Mohammed Khouj, Amer Abu Salem
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Multi Label Classification Algorithm Based on Conditional Local Correlations among Labels and Ensemble Learning
Raed Alazaidah, Ola Nasir, Wael Hadi, Ghassan Samara, Essam Al Daoud, Mohammad Aljaidi, Mohammed Talat Khouj, Esraa Abu Elsoud, Haneen Alzoubi
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Digital Evidence and Forensic Tools in Cyber Law: A Comprehensive Analysis
Ala’A Saeb Al-Sherideh, Samah Suleiman Al-Zou’Bi, Fuad Alshraiedeh, Esraa Abu Elsoud, Suha Afaneh, Mohammad Rasmi Al-Mousa, Raed Alazaidah, Mohammed Khouj, Ghassan Samara
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Cloud Security: Analyzing Threats and Challenges
Mahmoud Rajallah Asassfeh, Esraa Abu Elsoud, Sultan Mohammed Albilasi, Abdullah Alqammaz, Ala’a Al-Shaikh, Suha Afaneh, Ahmad Bany Doumi, Ali Elrashidi, Ghassan Samara
2024 25th International Arab Conference on Information Technology Acit 2024, 2024 - Improved Cervical Lymph Node Characterization among Patients with Head and Neck Squamous Cell Carcinoma Using MR Texture Analysis Compared to Traditional FDG-PET/MR Features Alone
Eric K. van Staalduinen, Robert Matthews, Adam Khan, Isha Punn, Renee F. Cattell, Haifang Li, Ana Franceschi, Ghassan J. Samara, Lukasz Czerwonka, Lev Bangiyev, Tim Q. Duong
Diagnostics, 2024 - An Intelligent Decision Support System Based on Multi Agent Systems for Business Classification Problem
Mais Haj Qasem, Mohammad Aljaidi, Ghassan Samara, Raed Alazaidah, Ayoub Alsarhan, Mohammed Alshammari
Sustainability Switzerland, 2023 - Maximizing Test Coverage for Security Threats Using Optimal Test Data Generation
Talha Hussain, Rizwan Bin Faiz, Mohammad Aljaidi, Adnan Khattak, Ghassan Samara, Ayoub Alsarhan, Raed Alazaidah
Applied Sciences Switzerland, 2023 - Multi-Label Classification Based on Associations
Raed Alazaidah, Ghassan Samara, Sattam Almatarneh, Mohammad Hassan, Mohammad Aljaidi, Hasan Mansur
Applied Sciences Switzerland, 2023 - Machine Learning-Based Detection of Smartphone Malware: Challenges and Solutions
Amneh Alamleh, Sattam Almatarneh, Ghassan Samara, Mohammad Rasmi
Mesopotamian Journal of Cybersecurity, 2023 - A Comparative Study of Transformers Embeddings for Question Answering in Arabic Private Documents
Essam Al Daoud, Ghassan Samara, Laith Al Daoud, Mohammad Al Jaidi
2023 IEEE Acis 8th International Conference on Big Data Cloud Computing and Data Science Bcd 2023, 2023 - A Proposed Darknet Traffic Classification System Based on Max Voting Algorithms
Ammar Almomani, Mohammad Alauthman, Mouhammad Alkasassbeh, Ghassan Samara, Ryan Wen Liu
Lecture Notes in Networks and Systems, 2023 - A Deep Learning Approach Towards Student Performance Prediction in Online Courses: Challenges Based on a Global Perspective
Abdallah Moubayed, MohammadNoor Injadat, Nouh Alhindawi, Ghassan Samara, Sara Abuasal, Raed Alazaidah
2023 24th International Arab Conference on Information Technology Acit 2023, 2023 - Impact of Coronavirus on People’s Life, Education and Socio-economic Implications—A Review
Maram Y. Al-Safarini, Reda Second, Fatima Haimour, Luma Fakhir, Ghassan Samara, Siham Haimour
Studies in Systems Decision and Control, 2023 - Internal Hidden Processing Model-Based for SELECT Command in Structured Query Language
Hasan Idhaim, Mohammad Aljaidi, Ghassan Samara, Mais Haj Qasem, Ayoub Alsarhan, Muhammad Khalid
2023 24th International Arab Conference on Information Technology Acit 2023, 2023 - Studying Risks of Hybrid Reengineering on Air-Transportation Systems Management 'A Case Study on Jordanian Civil Aviation Regulatory Commission (CARC)'
Al Refai Mohammed N., Taani M.K. K., Ahmed Ali Otoom, Ghassan Samara, Hanandeh E. S, Hayel Khafajeh
2023 24th International Arab Conference on Information Technology Acit 2023, 2023 - Optimization of COCOMO-II Model Parameters Using Hybrid Algorithm of Cuckoo Search Algorithm and GA
Alaa Abu-srhan, Mais Haj Qasem, Mohammad Aljaidi, Ghassan Samara, Raed Alazaidah, Ayoub Alsarhan
2nd International Engineering Conference on Electrical Energy and Artificial Intelligence Eiceeai 2023, 2023 - Utilizing Machine Learning in Medical Diagnosis: Systematic Review and Empirical Analysis
Raed Alazaidah, Mohammad Hassan, Lara Al-Rbabah, Ghassan Samara, Marina Yusof, Ala'a Saeb Al-Sherideh
2023 24th International Arab Conference on Information Technology Acit 2023, 2023 - Towards Advancing Distributed Data Mining: Intelligent Agent Systems
Mais Haj Qasem, Mohammad Aljaidi, Ghassan Samara, Ayoub Alsarhan, Raed Alazaidah, Yousef Ali Al-Gumaei, Esra Alzaghoul
2nd International Engineering Conference on Electrical Energy and Artificial Intelligence Eiceeai 2023, 2023 - Deep Feature Extraction Framework Based on DNN for Enhancing Mirai Attachment Classification in Machine Learning
Hasan Gharaibeh, Mohammad Aljaidi, Ahmad Nasayreh, Qais Al-Na'amneh, Ameera S. Jaradat, Ghassan Samara, Rabia Emhamed Al Mamlook
2nd International Engineering Conference on Electrical Energy and Artificial Intelligence Eiceeai 2023, 2023 - Machine Learning-Based Approach for Detecting DDoS Attack in SDN
Athari Alnatsheh, Ayoub Alsarhan, Mohammad Aljaidi, Husnain Rafiq, Khalid Mansour, Ghassan Samara, Bashar Igried, Yousef Ali Al Gumaei
2nd International Engineering Conference on Electrical Energy and Artificial Intelligence Eiceeai 2023, 2023 - A Comprehensive Review of Machine Learning-Based Intrusion Detection Techniques for IoT Networks
Ghassan Samara, Mohammad Aljaidi, Raed Alazaidah, Mais Haj Qasem, Mohammad Hassan, Nabeel Al-Milli, Mohammad S. Al-Batah, Mohammad Kanan
Studies in Computational Intelligence, 2023 - Forensic Handwriting and Signatures Using Machine Learning Techniques
Ayoub Alsarhan, Mohammad Aljaidi, Ghassan Samara, Andaleeb Al shdaifat, Razan Alhayajnah, Hael Al Khafajeh, Mais Haj Qasem, Tamam Alsarhan
2nd International Engineering Conference on Electrical Energy and Artificial Intelligence Eiceeai 2023, 2023 - Optimizing Road Safety through Intelligent Congestion Management
Ghassan Samara, Alaa Elhilo, Mahmoud Rajallah Asassfeh, MohammadNoor Injadat, Mais Haj Qasem, Raed Alazaidah, Mohammad Aljaidi, Nabeel Al-Milli, Adnan A Hnaif
2023 24th International Arab Conference on Information Technology Acit 2023, 2023 - ENERGY BALANCING ALGORITHM FOR WIRELESS SENSOR NETWORK
Journal of Theoretical and Applied Information Technology, 2022 - Improving the Face Recognition Performance Using Gabor and VGGFace2 Features Concatenation
Essam Al Daoud, Ghassan Samara
6th International Conference on Information Technology Incit 2022, 2022 - IoT Forensic Frameworks (DFIF, IoTDOTS, FSAIoT): A Comprehensive Study
Mohammad Hassan, Ghassan Samara, Mohammad Fadda
International Journal of Advances in Soft Computing and Its Applications, 2022 - Energy efficiency Wireless Sensor Networks Protocols: A Survey
Ghassan Samara, Ammar Almomani, Mohammad Alauthman, Mouhammad Alkasassbeh
2022 International Conference on Emerging Trends in Computing and Engineering Applications Etcea 2022 Proceedings, 2022 - A Data Science Approach for Predicting Crowdfunding Success
Ahmed BaniMustafa, Sattam Almatarneh, Olla Bulkrock, Ghassan Samara, Mohammad Aljaidi
1st International Engineering Conference on Electrical Energy and Artificial Intelligence Eiceeai 2022, 2022 - Message Broadcasting Algorithm Implementation Using Mobile Long Term Evolution and Narrow Band Internet of Things over Intelligent Transportation System (ITS)
Ghassan Samara, Mohammad Aljaidi, Essam Al Daoud, Maram Y. Al-Safarini, Ghassan M. Alsayyed, Sattam Almatarneh
Proceedings 2022 23rd International Arab Conference on Information Technology Acit 2022, 2022 - Internet of Robotic Things in Early Childhood Education: Domains and Challenges
Ghassan Samara, Ghassan M. Alsayyed, Mohammad Aljaidi, Sattam Almatarneh, Feras Almashakbah, Firas Omar
Proceedings 2022 23rd International Arab Conference on Information Technology Acit 2022, 2022 - EV Charging Station Placement and Sizing Techniques: Survey, Challenges and Directions for Future Work
Mohammad Aljaidi, Nauman Aslam, Ghassan Samara, Sattam Almatarneh, Khaled AL-Qawasmi, Abdullah Alqammaz
Proceedings 2022 23rd International Arab Conference on Information Technology Acit 2022, 2022 - Polarity Classification of Hotel Reviews: Lexicon-Based Method
Sattam Almatarneh, Israa Abdullah Almatarneh, Ghassan Samara, Mohammad Aljaidi, Amneh Alamleh, Aref Abuawad
Proceedings 2022 23rd International Arab Conference on Information Technology Acit 2022, 2022 - Examining Digital Forensic Evidence for Android Applications
Mohammad Rasmi Al-Mousa, Qutaiba Al-Zaqebah, Ala'a Saeb Al-Sherideh, Mohammed Al-Ghanim, Ghassan Samara, Sattam Al-Matarneh, Mahmoud Asassfeh
Proceedings 2022 23rd International Arab Conference on Information Technology Acit 2022, 2022 - Vulnerabilities in Vehicular Ad Hoc Networks and Possible Countermeasures
Ghassan Samara, Mohammed Bhaa Eid, Mohammad Aljaidi, Sattam Almatarneh, Mohammad Rasmi, Raed Alazaideh, Yasser Al-Lahham
Proceedings 2022 23rd International Arab Conference on Information Technology Acit 2022, 2022 - NHS WannaCry Ransomware Attack: Technical Explanation of the Vulnerability, Exploitation, and Countermeasures
Mohammad Aljaidi, Ayoub Alsarhan, Ghassan Samara, Raed Alazaidah, Sattam Almatarneh, Muhammad Khalid, Yousef Ali Al-Gumaei
1st International Engineering Conference on Electrical Energy and Artificial Intelligence Eiceeai 2022, 2022 - Diagnostic Tools for Detecting Autism Spectrum Disorder: A Review
Khosro Rezaee, Mohammad R. Khosravi, Hossein Ghayoumi Zadeh, Mohammad Kazem Moghimi, Ghassan Samara, Hani Attar, Sattam Almatarneh
1st International Engineering Conference on Electrical Energy and Artificial Intelligence Eiceeai 2022, 2022 - A Critical Evaluation of A Recent Cybersecurity Attack on iTunes Software Updater
Mohammad Aljaidi, Ayoub Alsarhan, Ghassan Samara, Yazan Alaya AL-Khassawneh, Yousef Ali Al-Gumaei, Hamzeh Aljawawdeh, Abdullah Alqammaz
1st International Engineering Conference on Electrical Energy and Artificial Intelligence Eiceeai 2022, 2022 - Lane prediction optimization in VANET
G. Samara
Egyptian Informatics Journal, 2021 - Scheduling Uet-UCT dags of depth two on two processors
Ruzayn Quaddoura, Gassan Samara
2021 22nd International Arab Conference on Information Technology Acit 2021, 2021 - An intelligent vice cluster head election protocol in WSN
Ghassan Samara, Mohammad Hassan, Yahya Zayed
International Journal of Advances in Soft Computing and Its Applications, 2021 - Alarm System at Street Junctions (ASSJ) to Avoid Accidents Using VANET System
G. Samara, Mohammad Hussein, Khaled E. Al-Qawasmi
Proceedings of 2021 Global Congress on Electrical Engineering GC Eleceng 2021, 2021 - Encryption for end-user privacy: A cyber-secure smart energy management system
Irshad Hussain, G. Samara, Ibrar Ullah, Naeem Khan
2021 22nd International Arab Conference on Information Technology Acit 2021, 2021 - Internet of things protection and encryption: A survey
G. Samara, Ruzayn Quaddoura, M. Al-Shalout, Khaled E. Al-Qawasmi, Ghadeer Al Besani
2021 22nd International Arab Conference on Information Technology Acit 2021, 2021 - Improving VANET's performance by incorporated fog-cloud layer (FCL)
G. Samara, Mohammed Rasmi, Nael A. Sweerky, E. A. Daoud, A. A. Salem
2021 22nd International Arab Conference on Information Technology Acit 2021, 2021 - Internet of robotic things: Current technologies and applications
Ghassan Samara, Abla Hussein, Israa Abdullah Matarneh, Mohammed Alrefai, Maram Y. Al-Safarini
2021 22nd International Arab Conference on Information Technology Acit 2021, 2021 - General Countermeasures of Anti-Forensics Categories
M. Al-Mousa, Nael A. Sweerky, G. Samara, Mohammed Alghanim, Abla Hussein, Braa Qadoumi
Proceedings of 2021 Global Congress on Electrical Engineering GC Eleceng 2021, 2021 - Wireless sensor network MAC energy - Efficiency protocols: A survey
Ghassan Samara
Proceedings 2020 21st International Arab Conference on Information Technology Acit 2020, 2020 - Intelligent reputation system for safety messages in VANET
G. Samara
Iaes International Journal of Artificial Intelligence, 2020 - Improve class prediction by balancing class distribution for diabetes dataset
International Journal of Scientific and Technology Research, 2020 - Energy-efficiency routing algorithms in wireless sensor networks: A survey
International Journal of Scientific and Technology Research, 2020 - An improved CF-MAC protocol for VANET
Ghassan Samara
International Journal of Electrical and Computer Engineering, 2019 - Efficient energy, cost reduction, and QoS based routing protocol for wireless sensor networks
Ghassan Samara, Mohammad Aljaidi
International Journal of Electrical and Computer Engineering, 2019 - An intelligent routing protocol in VANET
Ghassan Samara
International Journal of Ad Hoc and Ubiquitous Computing, 2018 - Aware-routing protocol using best first search algorithm in wireless sensor
International Arab Journal of Information Technology, 2018 - Wireless sensor networks hierarchical protocols
Ghassan Samara, Khiri M. Blaou
Icit 2017 8th International Conference on Information Technology Proceedings, 2017 - Applying ontological modeling on quranic «nature» domain
A. B. M. S. Sadi, Towfique Anam, Mohamed Abdirazak, Abdillahi Hasan Adnan, Mohammod Sazid Zaman Khan, Mohamed Mahmudur Rahman, G. Samara
2016 7th International Conference on Information and Communication Systems Icics 2016, 2016 - A prototype navigation system for guiding blind people indoors using NXT mindstorms
T. Alhmiedat, Anas Abu Taleb, Gassan Samara
International Journal of Online Engineering, 2013 - A new security mechanism for vehicular communication networks
G. Samara, Wafaa A. H. Ali Alsalihy
Proceedings 2012 International Conference on Cyber Security Cyber Warfare and Digital Forensic Cybersec 2012, 2012 - Message broadcasting protocols in VANET
Ghassan Samara, Wafaa A.H. Ali Alsali
Information Technology Journal, 2012 - Increasing network visibility using coded repetition beacon piggybacking
World Applied Sciences Journal, 2011 - Increase emergency message reception in VANET
G. Samara, W.A.H.A. Alsalihy, S. Ramadass
Journal of Applied Sciences, 2011 - Security analysis of Vehicular Ad Hoc Networks (VANET)
Ghassan Samara, Wafaa A.H. Al-Salihy, R. Sures
Proceedings 2nd International Conference on Network Applications Protocols and Services Netapps 2010, 2010 - Safety message power transmission control for vehicular Ad hoc Networks
Samara
Journal of Computer Science, 2010 - Efficient certificate management in VANET
Ghassan Samara, Wafaa A. H. Al-Salihy, R. Sures
Proceedings of the 2010 2nd International Conference on Future Computer and Communication Icfcc 2010, 2010 - Security issues and challenges of vehicular ad hoc networks (VANET)
Niss2010 4th International Conference on New Trends in Information Science and Service Science, 2010 - Compressing serialized java objects: A comparative analysis of six compression methods
Proceedings of the 3rd IASTED International Conference on Advances in Computer Science and Technology Acst 2007, 2007 - Utilizing object compression for better J2ME remote method invocation in 2.5G networks
Jalal Kawash, Ahmad El Halabi, Ghassan Samara
Journal of Computing and Information Technology, 2006
RECENT SCHOLAR PUBLICATIONS
- A comprehensive review of Fuzzy Rule-based systems: Foundations, evolution, and future directions
M Hegazi, K Chebil, B Almaslukh, G Samara, SA Alqahtani
Computer Science Review 62, 100986 , 2026
2026 - An Intelligent Fuzzy Protocol with Automated Optimization for Energy-Efficient Electric Vehicle Communication in Vehicular Ad Hoc Network-Based Smart Transportation Systems
G Samara, I Obeidat, M Odeh, R Alazaidah
World Electric Vehicle Journal 17 (4), 191 , 2026
2026 - Integrating Blockchain and AI for the Internet of Things: A Comprehensive Overview
G Samara, A Al-Mohtaseb, R Alazaidah, E Al Daoud, M Jaidi, M Alluwaici, ...
Artificial Intelligence for Sustainable Innovation Management and Risk … , 2026
2026 - Deep Learning Based Analysis of the Key Scheduling Algorithm of AES Cipher
NK Patel, P Lalwani, HS Lamkuche, G Samara, H Abu-Mariah
Business Resilience and Business Innovation for Sustainability: The Double … , 2026
2026 - Forensic Framework for Deleted Media of WhatsApp on Windows
S Pandey, RU Rahman, AK Phulre, G Samara, HS Lamkuche, A Sbaih
Business Resilience and Business Innovation for Sustainability: The Double … , 2026
2026 - CCSAR—Cloud Computing Security Architecture and Risks
P Arora, HS Lamkuche, H Abu-Mariah, G Samara
Business Resilience and Business Innovation for Sustainability: The Double … , 2026
2026 - Transformative Asset Management Strategies: Insights from NIST CSF
SD Jadhav, HS Lamkuche, M Temeiza, G Samara
Business Resilience and Business Innovation for Sustainability: The Double … , 2026
2026 - Anomaly Detection Technique for Network Intrusion Detection Using Ensemble Algorithm
S Gouri, D Vishnu, R ur-Rehman, G Samara, HS Lamkuche, S Taqatqa
Business Resilience and Business Innovation for Sustainability: The Double … , 2026
2026
Citations: 1 - Deep Dive into Malware Analysis and Their Behavior Patterns: A Systematic Technical Review
S Singh, HS Lamkuche, D Vishnu, G Samara, H Azath, E Qumsiyeh
Business Resilience and Business Innovation for Sustainability: The Double … , 2026
2026
Citations: 1 - Behavioral Profiling of Android Malwares: A Dynamic Analysis Approach
S Bhushan, S Saha, HS Lamkuche, G Samara, J Itmazi
Business Resilience and Business Innovation for Sustainability: The Double … , 2026
2026 - Securing the Cloud Environment: A Defense Mechanism Against DDoS Attack
K Dadhe, HS Lamkuche, E Qumsiyeh, G Samara
Business Resilience and Business Innovation for Sustainability: The Double … , 2026
2026 - AN INTELLIGENT WEB APPLICATION FIREWALL FUZZING FRAMEWORK INTEGRATED WITH BLOCKCHAIN TECHNOLOGY FOR SECURE PAYLOAD ANALYSIS AND TRACEABILITY
DA Laila, I Moh’d Obeidat, M Aman, BZ Altubaishe, M Odeh, G Samara
2026 - ENHANCING SUSTAINABILITY IN WIRELESS SENSOR NETWORKS THROUGH PSO-BASED CLUSTER OPTIMIZATION AND ADAPTIVE SINK MOBILITY
G Samara
2026 - FORTRESS: A Hybrid Fiber-RF Communication Protocol for Anti-Jamming Resilience in UAV Systems
G Samara, M Odeh, MR Al-Mousa, OIAL Mrayat, M Aljaidi, MH Qasem, ...
2025 26th International Arab Conference on Information Technology (ACIT … , 2025
2025 - A Framework for Effective Prediction and Classification of Breast Cancer Using Optimal Deep Enhanced Hybrid Classifier with Xai Model
S Sah, RB Sulaiman, S Abualhija, M Aljaidi, M Ahmad, G Samara, ...
2025 26th International Arab Conference on Information Technology (ACIT), 24-39 , 2025
2025 - A Risk-Aware GMRE-ACO Framework for Energy-Efficient UAV Data Collection in Wireless Sensor Networks
G Samara, R Alazaidah, I Obeidat, OI Al Mrayat, M Odeh, MH Qasem, ...
2025 26th International Arab Conference on Information Technology (ACIT … , 2025
2025 - Cybersecurity Attacks Detection Using Machine Learning: Ensemble Learning
R Alsawi, R Alazaidah, H Khafajeh, AA Zaid, G Samara, M Aljaidi
2025 26th International Arab Conference on Information Technology (ACIT … , 2025
2025 - Comprehensive Analysis Regarding Imbalanced Class Distribution Problem: Best Classification Model and Best Feature Selection Technique
R Alazaidah, R Alsawi, G Samara, O Alidmat, O Al-Refai, S Askar
2025 26th International Arab Conference on Information Technology (ACIT … , 2025
2025 - Multi-Task Learning for GPS Spoofing and GNSS Meaconing Detection in UAV IoT Systems
M Aljaidi, B Igried, M Aljamal, A Alsarhan, Z Jawasreh, G Samara, ...
2025 26th International Arab Conference on Information Technology (ACIT … , 2025
2025 - Comparative Analysis of WebEx, Microsoft Teams, Zoom, and Google Meet in Terms of Features and Security
A Ghaben, R Alazaidah, G Samara, A Bani-Bakr, EA Elsoud
2025 26th International Arab Conference on Information Technology (ACIT … , 2025
2025
MOST CITED SCHOLAR PUBLICATIONS
- Security analysis of vehicular ad hoc nerworks (VANET)
G Samara, WAH Al-Salihy, R Sures
2010 second international conference on network applications, protocols and … , 2010
2010
Citations: 227 - Security issues and challenges of vehicular ad hoc networks (VANET)
G Samara, WAH Al-Salihy, R Sures
4th international conference on new trends in information science and … , 2010
2010
Citations: 190 - Quantifying the managerial and practical benefits of cloud computing on information security in higher education institutions
Y Aldaaja, M Odeh, SS Badrakhan, M Sabri, Y Abdelrahim, G Samara, ...
Appl. Math. Inf. Sci 19 (1), 15-24 , 2025
2025
Citations: 180 - Website phishing detection using machine learning techniques
R Alazaidah, A Al-Shaikh, MR Al-Mousa, H Khafajah, G Samara, ...
Journal of Statistics Applications & Probability 13 (1), 119-129 , 2024
2024
Citations: 100 - An Indoor Fingerprinting Localization Approach for ZigBee Wireless Sensor Networks
T Alhmiedat, G Samara, AOA Salem
European Journal of Scientific Research , 2013
2013
Citations: 93 - Leveraging artificial intelligence for sustainable cloud computing: transitioning from physical to virtual machines
Y Aldaaja, EA Shaban, M Odeh, M Sabri, N Flayyih, G Samara, ...
Appl. Math 19 (1), 141-148 , 2025
2025
Citations: 81 - Diagnosing diabetes mellitus using machine learning techniques.
M Alzyoud, R Alazaidah, M Aljaidi, G Samara, MH Qasem, M Khalid, ...
International Journal of Data & Network Science 8 (1) , 2024
2024
Citations: 79 - Energy-efficiency routing algorithms in wireless sensor networks: A survey
G Samara, GA Besani, M Alauthman, MA Khaldy
arXiv preprint arXiv:2002.07178 , 2020
2020
Citations: 61 - Efficient energy, cost reduction, and QoS based routing protocol for wireless sensor networks
G Samara, M Aljaidi
International Journal of Electrical and Computer Engineering , 2019
2019
Citations: 57 - Nhs wannacry ransomware attack: Technical explanation of the vulnerability, exploitation, and countermeasures
M Aljaidi, A Alsarhan, G Samara, R Alazaidah, S Almatarneh, M Khalid, ...
2022 International Engineering Conference on Electrical, Energy, and … , 2022
2022
Citations: 56 - A comprehensive review of machine learning-based intrusion detection techniques for IoT networks
G Samara, M Aljaidi, R Alazaidah, MH Qasem, M Hassan, N Al-Milli, ...
Artificial Intelligence, Internet of Things, and Society 5.0, 465-473 , 2023
2023
Citations: 55 - Security issues in vehicular ad hoc networks (VANET): a survey
G Samara, Y Al-Raba'nah
arXiv preprint arXiv:1712.04263 , 2017
2017
Citations: 54 - Potential of machine learning for predicting sleep disorders: A comprehensive analysis of regression and classification models
R Alazaidah, G Samara, M Aljaidi, M Haj Qasem, A Alsarhan, ...
Diagnostics 14 (1), 27 , 2023
2023
Citations: 52 - Multi-label classification based on associations
R Alazaidah, G Samara, S Almatarneh, M Hassan, M Aljaidi, H Mansur
Applied Sciences 13 (8), 5081 , 2023
2023
Citations: 50 - Lane prediction optimization in VANET
G Samara
Egyptian Informatics Journal 22 (4), 411-416 , 2021
2021
Citations: 47 - A low cost zigbee sensor network architecture for indoor air quality monitoring
T Alhmiedat, G Samara
International Journal of Computer Science and Information Security (IJCSIS) , 2017
2017
Citations: 47 - Optimal number of cluster heads in wireless sensors networks based on LEACH
G Samara, M Al-okour
arXiv preprint arXiv:2003.13765 , 2020
2020
Citations: 46 - Encryption for end-user privacy: A cyber-secure smart energy management system
I Hussain, G Samara, I Ullah, N Khan
2021 22nd International Arab Conference on Information Technology (ACIT), 1-6 , 2021
2021
Citations: 45 - Wireless sensor network MAC energy-efficiency protocols: a survey
G Samara
2020 21st International Arab Conference on Information Technology (ACIT), 1-5 , 2020
2020
Citations: 45 - Exploring the effectiveness of different embedding methods for toxicity classification
E Al-Daoud, G Samara, MRA Sara, S Taqatqa, M Kanan
Artificial Intelligence and Economic Sustainability in the Era of Industrial … , 2024
2024
Citations: 44
