Girish Paliwal

@amity.edu

Associate Professor
Amity University Noida Uttar Pradesh, Greater Noida Campus

Girish Paliwal


                        Download Compact PDF  
https://researchid.co/girishpaliwal
Dr. Girish Paliwal has more than 21 years of academic & teaching and research experience. He has qualification PhD(IT) , SET, M.Tech(IT), MCA. He has various certifications from the global leaders like Oracle Cloud Data Management 2022 Foundations Certified Associate, Oracle Cloud Infrastructure 2022 Certified Foundations Associate, CyberOps Associate, CCNA: Introduction to Networks, CCNA: Switching, Routing, and Wireless Essentials, CCNA: Enterprise Networking, Security, and Automation and many more
During his academic career, he has held various positions such as member of Board of Studies, Head of examination etc. He has appointed as paper setter and an external examiner for the viva-voce exams of B.Tech / M.Tech, MCA students of various universities. He has provided the guidance to the projects and Internship. He has published various research papers in national and international.

EDUCATION

Ph.D. (IT), M. Tech. (IT), B Level (MCA), UGC SET
OCP-JAVA SE-11 Developer, OCDM Associate,
OCI Foundation Associate & Architect Associate
Certified Instructor of ORACLE Cloud and JAVA
CCNA R&S, CCNA Security, CCNA CyberOps Associate
Certified Instructor of CISCO Netacad

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Networks and Communications, Computer Science Applications, Artificial Intelligence, Computer Science
24

Scopus Publications

142

Scholar Citations

7

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • AI-Driven Hybrid Framework for Lung Cancer Detection Using Deep and Machine Learning Techniques
    Shilpa Sharma, Vijay Mohan Shrimal, Shubham Sharma, Tapasya Sharma, Girish Paliwal, Kanta Prasad Sharma, Madani Hamdi Mohammed Rashed
    2026 2nd International Conference on Cognitive Computing in Engineering Communications Sciences and Biomedical Health Informatics Ic3ecsbhi 2026, 2026
    Globally, lung cancer continues to rank among the leading causes of mortality. The lack of sophisticated technology choices for screening and the fact that the sickness is typically discovered at the final stage are the main causes of this. Consequently, this work creates a hybrid AI-based system that combines machine learning (ML) and deep learning (DL) methods to make lung cancer detection quick and accurate. A machine learning classifier such as Random Forest or Support Vector Machine (SVM) is used for the final diagnosis after the created system uses convolutional neural networks (CNN) for automatic feature extraction from computed tomography (CT) images. Such a hybridization allows the model to leverage the deep networks' superior feature extraction ability and also, maintain the interpretability and the efficiency of traditional ML algorithms. The proposed model through rigorous experiments on benchmark datasets is reported to achieve classification accuracy, sensitivity, and specificity of 97.8%, 96.5%, and 98.2%, respectively, thus, outperforming the conventional standalone methods. Besides, the designed scheme is perfect in differentiating malignant and benign lung nodules under various imaging conditions.
  • Improving Ranking Efficiency in Information Retrieval: The LinkRanker Algorithm
    Kanta Prasad Sharma, Mohammed Yousif Abo Keir, Junainah Abd Hamid, Gadug Sudhamsu, Girish Paliwal, Abhilasha Jadhav, Pooja Rani, Ahmed Alkhayyat
    National Academy Science Letters, 2026
  • Writer Identification from Handwritten Gurmukhi Script: A Machine Learning Approach
    Girish Paliwal, Kanta Prasad Sharma, Ibrahim Oteir, Mohd Shukri Ab Yajid, Shivakrishna Dasi, Ankur Srivastava, Sankara Rao Palla, Aman Shankhyan
    National Academy Science Letters, 2026
  • Transformative impact of explainable artificial intelligence: bridging complexity and trust
    Girish Paliwal, Ashish Kumar, Kanta Prasad Sharma, Deepshika Bhargava, Vijay Mohan Shrimal
    Discover Artificial Intelligence, 2025
    Artificial Intelligence and Deep Learning have gained widespread popularity in all sectors and industries from healthcare to finance and industrial management. Explainable Artificial Intelligence (XAI) is urgent need to bridge the gap between the needs of society interpretability, and trust while maximizing AI benefits. This review XAI methodologies is presented as a comprehensive analysis of three different types model including model-specific, model-agnostic, and hybrid, along with their applications. The review discussed sectors of healthcare, finance, and industrial management etc. where XAI can be utilized for better results and gain trust. The generic and prominent key challenges in terms of trade-offs between accuracy and interpretability, the existing scalability issues, and ethical considerations were focused. The paper also discussed future directions, such as domain-specific frameworks interdisciplinary collaborations and standardized evaluation metrics, to be proposed for advancing XAI research and applications. The review highlighted the potential of XAI for upbringing a society equipped with modern AI with precise results, high responsibility and more transparency.
  • Unraveling the artificial intelligence role in drug discovery and pharmaceutical product design: an opportunity and challenges
    Bhakti Sudha Pandey, Sumit Durgapal, Prashant Kumar, Gauree Kukreti, Anjali Jain, Girish Paliwal, Manish Kumar
    Discover Artificial Intelligence, 2025
    Artificial intelligence (AI) has become a novel approach for bioactive molecule search, target identification, prediction of lead molecule-target interaction, design of pharmaceutical formulations, and efficient conduction and prediction of results of clinical trials. AI has revolutionized the drug discovery and pharmaceutical product development. Traditional methods are time-consuming and costlier due to large experimentation number and low hit and success. Herein, AI can analyse a large dataset quickly to give possible outcomes. AI easily identifies potential drug targets by virtual screening of biological data, resulting in time-efficient and low-cost discovery of novel drug targets. AI can be used for the design of new drug candidates by analysing the possible molecular structures binding with targets. Moreover, AI can easily predict drug interactions with targets to exert therapeutic action. AI-enabled drug repurposing is based on the interaction of existing drugs with new targets or other explored target datasets. AI can play prominent role in accelerating the development of pharmaceutical products due to their role in optimization and process validation. The clinical trials have also become easy and faster with use of AI tools. Artificial Intelligence based tool can be employed in discovery of lead molecule, target identification, drug-target interaction, development of pharmaceutical product and clinical trials to accelerate the production of clinically acceptable therapeutics with higher success rate.
  • Advanced Handwritten Text Recognition and Analysis System
    Shobhit Sinha, Girish Paliwal, Kanta Prasad Sharma
    2025 Global Conference in Emerging Technology Ginotech 2025, 2025
    The Advanced Handwritten Text Recognition and Analysis System is a cutting-edge solution designed to accurately interpret and analyze handwritten text using machine learning and deep learning techniques. It employs advanced image preprocessing, optical character recognition (OCR), and neural networks to convert handwritten input into editable and searchable digital formats. The system supports multilingual recognition, contextual understanding, and data extraction for diverse applications, including document digitization, historical record preservation, and form processing. Its robust architecture ensures high accuracy, adaptability to various handwriting styles, and efficient analysis, making it an invaluable tool for enhancing productivity and accessibility in numerous domains.
  • AI-Powered Resume Builder: Enhancing Job Applications with Artificial Intelligence
    Richa Jha, Girish Paliwal, Bhavnesh Kumar Jha
    Icdt 2025 3rd International Conference on Disruptive Technologies, 2025
    Modern candidates for employment positions must construct ATS-compliant resume applications because employers strictly follow this practice for candidate selection. Applications struggle to create ATS compliant resumes while matching their content to resume keywords which results in poor automated recruiter screening and impacts their chances of submitting their best application. Resumes lack any additional feedback systems in standard development tools and do not provide automatic AI assistance or recommend roles for specific job requirements. This system uses NLP capabilities with ML attributes to auto-generate resumes that follow the requirements of ATS standards. The system requires two essential actions to complete which involve content reshaping along with template selection for recruitment approaches based on user-submitted industry keywords. The system instantly supplies users with feedback about grammatical precision and helps both users and applicants to determine keywords and improve score structure.Independent testers evaluated the methodological effectiveness of working with job seekers through different professional groups who have differing expertise levels. The system demonstrates its capacity to help employers acquire superior job candidates through interviews while meeting ATS requirements and developing resumes with clear terms. The research indicates artificial intelligence provides recruitment capabilities by developing artificial resume content which leads candidates to false interview opportunities. The study established fundamental concepts for future development of AIbased career guidance systems by creating automated systems for matching skills and giving job recommendations and AI-driven guidance to potential job seekers.
  • Deploying Blockchain and Edge-Cloud-Enabled SDN (BLEDGE-SDN) Framework for Securing Network and IoT Devices
    Girish Paliwal, Vijay Mohan Shrimal, Ankit Garg, Manoj Wadhwa
    Smart Innovation Systems and Technologies, 2025
  • AI-Based Effective Intrusion Detection System
    Girish Paliwal, Kanta Prasad Sharma, Ritika, Pooja Sharma, Vijay Mohan Shrimal, Gagandeep Kaur
    Proceedings of International Conference on Digital Innovations for Sustainable Solutions Icdiss 2025, 2025
    Because of the emergence of more complex cyberthreats, standard intrusion detection systems (IDS) typically fail to detect and repel attacks in an effective manner. This is because they are not designed to do so. Artificial intelligence-powered intrusion detection systems can change cybersecurity because of the eradication of these restrictions. These systems can monitor network data, identify anomalies, and categorize potential threats with a higher degree of precision thanks to the assistance of machine learning and deep learning algorithms. This results in security systems being more proactive because it dramatically reduces the frequency of false alerts and improves the ability to identify threats in real time. The purpose of this research is to evaluate the impact that artificial intelligence (AI) has on the efficiency of intrusion detection systems (IDS) by contrasting a variety of learning models, which include both supervised and unsupervised methods of instruction. Additionally, the research analyzes the ways in which technologies that are based on artificial intelligence at the edge and cloud computing can improve scalability and reaction times (reaction times). Considering the findings, it appears that intrusion detection systems that are powered by artificial intelligence are more effective than traditional security measures when it comes to identifying sophisticated cyberthreats.
  • Optimizing Cloud Migration: A Case Study Approach to Application Modernization
    Tapsi Nagpal, Shiv Kumar, Vijay Mohan Shrimal, Girish Paliwal, Kanta Prasad Sharma, Raghav Mehra
    2025 IEEE 5th International Conference on ICT in Business Industry and Government Ictbig 2025, 2025
    One of the most basic but important problems faced by websites or applications is sudden increases in user traffic. The main ideology of this project is to reduce the traffic issues over these websites or applications. To reduce the workload over a particular server, we have created multiple servers and divided microservices over them so that, whenever the load increases over the main server, the extra load can be transferred to other servers. To overcome these challenges, this paper proposes a Secure Cloud Migration Strategy (SCMS) that combines step-by-step migration planning, microservice-based restructuring, and built-in security practices. The framework distributes applications across multiple servers, applies load balancing, and continuously monitors performance. This design reduces latency, prevents traffic slowdowns, and improves overall system scalability.
  • Enhancing Election Integrity Using Aadhar-Based Authentication and Role-Based Access Control
    Vijay Mohan Shrimal, Girish Paliwal, Naveen Bansal, Pooja Sharma, Kanta Prasad Sharma, Gagandeep Kaur
    Proceedings of International Conference on Digital Innovations for Sustainable Solutions Icdiss 2025, 2025
  • OpenCV-enabled Gesture Control for Smart Devices: A User-Centric Approach
    Kanta Prasad Sharma Amity, Vijay Mohan Shrimal, Ritika, Pooja Sharma, Girish Paliwal, Gagandeep Kaur
    Proceedings of International Conference on Digital Innovations for Sustainable Solutions Icdiss 2025, 2025
  • An Optimized & Data-Driven Approach for Real-Time Slot Allocation and User-Friendly Access in Smart Parking System
    Tapsi Nagpal, Shiv Kumar, Vijay Mohan Shrimal, Girish Paliwal, Kanta Prasad Sharma, Raghav Mehra
    2025 IEEE 5th International Conference on ICT in Business Industry and Government Ictbig 2025, 2025
  • Detecting Muscle Strain using IoT Technology
    Parveen Badoni, Manoj Wadhwa, Vijay Mohan Shrimal, Girish Paliwal
    2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences Ic3tes 2024, 2024
  • Critical Review: Fog Computing Dimensions for Data Security Features Cloud-Based Applications
    Kanta Prasad Sharma, Girish Paliwal, Deepshikha Bhargava, Vijay Mohan Shrimal, Ashish Kumar
    2024 IEEE 4th International Conference on ICT in Business Industry and Government Ictbig 2024, 2024
  • Leveraging Cloud Technology for Enhanced Online Examination System
    Vijay Mohan Shrimal, Girish Paliwal, Kanta Prasad Sharma, Deepshikha Bhargava, Ashish Kumar
    2024 IEEE 4th International Conference on ICT in Business Industry and Government Ictbig 2024, 2024
  • Automated Gas Burner Control Mechanism for Milk Boiling Process Using Arduino
    Parveen Badoni, Manoj Wadhwa, Neha Dutta, Girish Paliwal, Vijay Mohan Shrimal
    2024 1st International Conference on Sustainability and Technological Advancements in Engineering Domain Sustained 2024, 2024
  • A Comprehensive Study on Steganography and Text-to-Image Encryption Using RGB Substitution Techniques for Cybersecurity
    Girish Paliwal, Kanta Prasad Sharma, Vijay Mohan Shrimal, Deepshikha Bhargava, Ashish Kumar
    2024 IEEE 4th International Conference on ICT in Business Industry and Government Ictbig 2024, 2024
  • Navigating the AR Labyrinth: Enhancing Immersion and Interaction through Tracker-Based Movement in Augmented Reality Maze Games
    Vijay Mohan Shrimal, Girish Paliwal, Madan Lal Saini, Mamta Sharma, Manoj Wadhwa, Parveen Badoni
    Proceedings of International Conference on Emerging Technologies and Innovation for Sustainability Emergin 2024, 2024
  • Enhancing Education with Augmented Reality: A Prototype-Based Approach
    Girish Paliwal, Kanta Prasad Sharma, Raghav Mehra, Vijay Mohan Shrimal, Manoj Kumar Pandey, Harsh Vijay
    Proceedings of International Conference on Emerging Technologies and Innovation for Sustainability Emergin 2024, 2024
  • Enhancing Quadcopter Navigation with Energy-Efficient Obstacle Avoidance Using the KNN Algorithm and Distance Deviation
    Nongmeikapam Thoiba Singh, Girish Paliwal, Vijay Mohan Shrimal, Parul Datta, Manoj Wadhwa, Kunal Chauhan, Sonu Kumar
    2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
  • A New Effective TCP-CC Algorithm Performance Analysis (NS3)
    Girish Paliwal, Kanta Prasad Sharma, Swapnesh Taterh, Saiyam Varshney
    2019 4th International Conference on Information Systems and Computer Networks Iscon 2019, 2019
  • Impact of Dense Network in MANET Routing Protocols AODV and DSDV Comparative Analysis Through NS3
    Girish Paliwal, Swapnesh Taterh
    Advances in Intelligent Systems and Computing, 2018
  • A study on various attacks of TCP/IP and security challenges in MANET layer architecture
    Girish Paliwal, Ankur Prakash Mudgal, Swapnesh Taterh
    Advances in Intelligent Systems and Computing, 2015

RECENT SCHOLAR PUBLICATIONS

  • Writer Identification from Handwritten Gurmukhi Script: A Machine Learning Approach
    G Paliwal, KP Sharma, I Oteir, MS Ab Yajid, S Dasi, A Srivastava, ...
    National Academy Science Letters, 1-5 , 2026
    2026
  • Artificial Intelligence Powered Personal Finance Management System
    P Chahar, YK Vishwakarma, R Mishra, G Paliwal
    Available at SSRN 6377518 , 2026
    2026
  • Improving Ranking Efficiency in Information Retrieval: The LinkRanker Algorithm
    KP Sharma, MYA Keir, JA Hamid, G Sudhamsu, G Paliwal, A Jadhav, ...
    National Academy Science Letters, 1-5 , 2026
    2026
  • AI-Driven Hybrid Framework for Lung Cancer Detection Using Deep and Machine Learning Techniques
    S Sharma, VM Shrimal, S Sharma, T Sharma, G Paliwal, KP Sharma, ...
    2026 2nd International Conference on Cognitive Computing in Engineering … , 2026
    2026
  • An Optimized & Data-Driven Approach for Real-Time Slot Allocation and User-Friendly Access in Smart Parking System
    T Nagpal, S Kumar, VM Shrimal, G Paliwal, KP Sharma, R Mehra
    2025 IEEE 5th International Conference on ICT in Business Industry … , 2025
    2025
  • Optimizing Cloud Migration: A Case Study Approach to Application Modernization
    T Nagpal, S Kumar, VM Shrimal, G Paliwal, KP Sharma, R Mehra
    2025 IEEE 5th International Conference on ICT in Business Industry … , 2025
    2025
  • OpenCV-Enabled Gesture Control for Smart Devices: A User-Centric Approach
    KPS Amity, VM Shrimal, P Sharma, G Paliwal, G Kaur
    2025 International Conference on Digital Innovations for Sustainable … , 2025
    2025
  • Enhancing Election Integrity Using Aadhar-Based Authentication and Role-Based Access Control
    VM Shrimal, G Paliwal, N Bansal, P Sharma, KP Sharma, G Kaur
    2025 International Conference on Digital Innovations for Sustainable … , 2025
    2025
  • AI-Based Effective Intrusion Detection System
    G Paliwal, KP Sharma, P Sharma, VM Shrimal, G Kaur
    2025 International Conference on Digital Innovations for Sustainable … , 2025
    2025
  • Deploying Blockchain and Edge-Cloud-Enabled SDN (BLEDGE-SDN) Framework
    G Paliwal, VM Shrimal, A Garg, M Wadhwa
    Smart Cyber Physical Systems: Proceedings of ICSCPS 2024, 173 , 2025
    2025
  • Unraveling the artificial intelligence role in drug discovery and pharmaceutical product design: an opportunity and challenges
    BS Pandey, S Durgapal, P Kumar, G Kukreti, A Jain, G Paliwal, M Kumar
    Discover Artificial Intelligence 5 (1), 72 , 2025
    2025
    Citations: 4
  • Advanced Handwritten Text Recognition and Analysis System
    S Sinha, G Paliwal, KP Sharma
    2025 Global Conference in Emerging Technology (GINOTECH), 1-8 , 2025
    2025
    Citations: 2
  • Transformative impact of explainable artificial intelligence: bridging complexity and trust
    G Paliwal, A Kumar, KP Sharma, D Bhargava, VM Shrimal
    Discover Artificial Intelligence 5 (1), 51 , 2025
    2025
    Citations: 14
  • AI-powered resume builder: Enhancing job applications with artificial intelligence
    R Jha, G Paliwal, BK Jha
    2025 3rd International Conference on Disruptive Technologies (ICDT), 1655-1660 , 2025
    2025
    Citations: 11
  • Navigating the AR Labyrinth: Enhancing Immersion and Interaction Through Tracker-Based Movement in Augmented Reality Maze Games
    VM Shrimal, G Paliwal, ML Saini, M Sharma, M Wadhwa, P Badoni
    2024 International Conference on Emerging Technologies and Innovation for … , 2024
    2024
  • Enhancing Education with Augmented Reality: A Prototype-Based Approach
    G Paliwal, KP Sharma, R Mehra, VM Shrimal, MK Pandey, H Vijay
    2024 International Conference on Emerging Technologies and Innovation for … , 2024
    2024
    Citations: 2
  • Automated Gas Burner Control Mechanism for Milk Boiling Process Using Arduino
    P Badoni, M Wadhwa, N Dutta, G Paliwal, VM Shrimal
    2024 1st International Conference on Sustainability and Technological … , 2024
    2024
  • Leveraging Cloud Technology for Enhanced Online Examination System
    VM Shrimal, G Paliwal, KP Sharma, D Bhargava, A Kumar
    2024 IEEE 4th International Conference on ICT in Business Industry … , 2024
    2024
    Citations: 4
  • Critical review: Fog computing dimensions for data security features cloud-based applications
    KP Sharma, G Paliwal, D Bhargava, VM Shrimal, A Kumar
    2024 IEEE 4th International Conference on ICT in Business Industry … , 2024
    2024
    Citations: 4
  • A Comprehensive Study on Steganography and Text-to-Image Encryption Using RGB Substitution Techniques for Cybersecurity
    G Paliwal, KP Sharma, VM Shrimal, D Bhargava, A Kumar
    2024 IEEE 4th International Conference on ICT in Business Industry … , 2024
    2024
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Performance analysis of ad hoc on-demand distance vector routing protocol for mobile ad hoc networks
    S Taterh, Y Meena, G Paliwal
    Computational network application tools for performance management, 235-245 , 2019
    2019
    Citations: 23
  • A study on various attacks of tcp/ip and security challenges in manet layer architecture
    G Paliwal, AP Mudgal, S Taterh
    Proceedings of Fourth International Conference on Soft Computing for Problem … , 2014
    2014
    Citations: 21
  • Impact of dense network in MANET routing protocols AODV and DSDV comparative analysis through NS3
    G Paliwal, S Taterh
    Soft Computing: Theories and Applications: Proceedings of SoCTA 2016, Volume … , 2017
    2017
    Citations: 15
  • Transformative impact of explainable artificial intelligence: bridging complexity and trust
    G Paliwal, A Kumar, KP Sharma, D Bhargava, VM Shrimal
    Discover Artificial Intelligence 5 (1), 51 , 2025
    2025
    Citations: 14
  • AI-powered resume builder: Enhancing job applications with artificial intelligence
    R Jha, G Paliwal, BK Jha
    2025 3rd International Conference on Disruptive Technologies (ICDT), 1655-1660 , 2025
    2025
    Citations: 11
  • Soft computing: theories and applications
    M Pant, K Ray, TK Sharma, S Rawat, A Bandyopadhyay
    Proc SoCTA 2 , 2016
    2016
    Citations: 11
  • A topology based routing protocols comparative analysis for manets
    G Paliwal, S Taterh
    International Journal of Advanced Engineering Research and Science 3 (3), 258851 , 2016
    2016
    Citations: 10
  • A new effective TCP-CC algorithm performance analysis (NS3)
    G Paliwal, KP Sharma, S Taterh, S Varshney
    2019 4th International Conference on Information Systems and Computer … , 2019
    2019
    Citations: 7
  • Computational Network Application Tools for Performance Management
    M Pant, TK Sharma, S Basterrech, C Banerjee
    Springer , 2020
    2020
    Citations: 6
  • Unraveling the artificial intelligence role in drug discovery and pharmaceutical product design: an opportunity and challenges
    BS Pandey, S Durgapal, P Kumar, G Kukreti, A Jain, G Paliwal, M Kumar
    Discover Artificial Intelligence 5 (1), 72 , 2025
    2025
    Citations: 4
  • Leveraging Cloud Technology for Enhanced Online Examination System
    VM Shrimal, G Paliwal, KP Sharma, D Bhargava, A Kumar
    2024 IEEE 4th International Conference on ICT in Business Industry … , 2024
    2024
    Citations: 4
  • Critical review: Fog computing dimensions for data security features cloud-based applications
    KP Sharma, G Paliwal, D Bhargava, VM Shrimal, A Kumar
    2024 IEEE 4th International Conference on ICT in Business Industry … , 2024
    2024
    Citations: 4
  • Advanced Handwritten Text Recognition and Analysis System
    S Sinha, G Paliwal, KP Sharma
    2025 Global Conference in Emerging Technology (GINOTECH), 1-8 , 2025
    2025
    Citations: 2
  • Enhancing Education with Augmented Reality: A Prototype-Based Approach
    G Paliwal, KP Sharma, R Mehra, VM Shrimal, MK Pandey, H Vijay
    2024 International Conference on Emerging Technologies and Innovation for … , 2024
    2024
    Citations: 2
  • Detecting Muscle Strain using IoT Technology
    P Badoni, M Wadhwa, VM Shrimal, G Paliwal
    2024 Second International Conference Computational and Characterization … , 2024
    2024
    Citations: 2
  • Simulation Windows Size Quadric Increase Congestion Control Algorithm Implementation using NS3 in Wired Computer Networks Scenario
    G Paliwal, S Taterh
    International Journal of Computer Sciences and Engineering 6 (6), 480-485 , 2018
    2018
    Citations: 2
  • A Comprehensive Study on Steganography and Text-to-Image Encryption Using RGB Substitution Techniques for Cybersecurity
    G Paliwal, KP Sharma, VM Shrimal, D Bhargava, A Kumar
    2024 IEEE 4th International Conference on ICT in Business Industry … , 2024
    2024
    Citations: 1
  • Statistical Impact Analysis of Congestion Control Algorithm in Mobile Ad-Hoc Network
    G Paliwal, KP Sharma, D Bhargava
    Technische Sicherheit(Technical Security) Journal ISSN:2191-0073 24 (Issue … , 2024
    2024
    Citations: 1
  • Deploying Blockchain and Edge-Cloud-Enabled SDN (BLEDGE-SDN) Framework for Securing Network and IoT Devices
    G Paliwal, VM Shrimal, A Garg, M Wadhwa
    International Conference on Smart Cyber Physical Systems, 173-189 , 2024
    2024
    Citations: 1
  • Software Product Lines for Mobile Patient Monitoring Systems Using FoDA a Grammar.
    G Paliwal, A Bunglowala
    Biochem Ind J. 11 (2), 112 , 2017
    2017
    Citations: 1