Dr. P SUBHASH

Scopus Publications

Enhanced Convolutional Neural Networks for Adaptive IoT Botnet Attack Detection Using Reinforcement Learning
Ranjith Kumar S, Subhash P, Anitha R
Proceedings 3rd International Conference on Artificial Intelligence and Machine Learning Applications Healthcare and Internet of Things Aimla 2025, 2025
The proliferation of Internet of Things (IoT) devices has revolutionized various industries but has also exposed critical vulnerabilities in network security, making IoT networks prime targets for botnet attacks. This project addresses the challenge by developing a hybrid detection system that integrates Convolutional Neural Networks (CNN) and Reinforcement Learning (RL) for efficient and accurate botnet detection. Utilizing the N-BaIoT dataset, the system is designed to process large volumes of network traffic data, enabling the identification of anomalous behavior indicative of botnet activities. The architecture begins with data collection and preprocessing to ensure the input is normalized and structured for machine learning models. CNNs are employed for feature extraction, leveraging their ability to automatically learn complex patterns in IoT traffic data. This is followed by fully connected layers for classification, predicting whether a traffic instance is benign or botnet-related. The system achieves high accuracy through the hierarchical combination of convolutional layers and dense layers, ensuring robust detection capabilities across diverse traffic patterns. To enhance adaptability and decision-making, an RL agent is integrated into the pipeline. The RL agent employs a feedback mechanism, continuously learning and optimizing the model's performance based on real-time classifications.
Intelligent IoT-Based System for Real-Time Agricultural Monitoring and Automated Irrigation
Sudheer Nidamanuri, Madana Srinivas, A. Ranjith, A. Manusha Reddy, P. Subhash
2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2025, 2025
Traditional agricultural practices often suffer from inefficient resource utilization, leading to reduced yields and environmental damage due to inaccurate estimations of water and nutrient requirements. This project addresses these challenges by presenting an IoT-based agricultural and irrigation system. This system deploys a network of sensors to collect real-time data on environmental conditions and crop health, transmitting it to a central unit for analysis. Based on this analysis, the system automatically controls irrigation and fertilizer application, delivering precise amounts of water and nutrients. The implemented system demonstrates improved water use efficiency, minimized nutrient runoff, optimized crop growth leading to increased yields, and enables early detection of crop health issues, contributing to more sustainable and efficient agricultural practices.
Blockchain Enhanced Certificate Authentication System Using IPFS
P Subhash, B. Varsha Reddy, K. Varun, P. Sandhya Kiran, V. Abhishek
Lecture Notes in Networks and Systems, 2025
Development of Telugu Treebank Using Panini Karaka Relations for Dependency Parsing
G. Nagaraju, G. S. Ramesh, P. Subhash, M. Srinivas, Venkateswararao Pulipati
Lecture Notes in Networks and Systems, 2025
Hybrid-CNN Classifier for Fake News Detection: a Multimodal Defense Against Digital Misinformation
Sekar K, Jayashrinidhi Vijayaraghavan, Shruthi G, Sri Balaji S, Ranjith Kumar S, Subhash P
Proceedings 2025 2nd International Conference on Networks and Soft Computing Icnsoc 2025, 2025
CNN-Based Approach for Predicting Class Labels in Breast Cancer Classification
D. Manju, G. Nagaraju, T. Sunil Kumar, Rudra Yamini Rani, B. Gouthami, P. Subhash
Lecture Notes in Networks and Systems, 2025
Controlled blockchain enabled data record security for healthcare applications
Siva Surya Narayana Chintapalli, S. P. Paramesh, G. S. Nijaguna, Jane Rubel Angelina Jeyaraj, P. Subhash
Neural Computing and Applications, 2024
RISK ASSESSMENT THREAT MODELLING USING AN INTEGRATED FRAMEWORK TO ENHANCE SECURITY
Journal of Theoretical and Applied Information Technology, 2024
Performance Study of Three Different Types of Data Center Network Architectures, NovaCube, BCube, and FatTree Using NS-3 Simulator
A. Ranjith, P. Subhash, G. Nagaraju, M. Srinivas, A. Prashanth
Lecture Notes in Networks and Systems, 2024
OMM-RLC Optimised Multimodal Fusion For Recurrence Lung Cancer Detection
P Subhash, D Manju, V Sreaya, P Sharath, S Shreyana, P Manideep
Icccmla 2024 6th International Conference on Cybernetics Cognition and Machine Learning Applications, 2024
Lung cancer is one of the deadliest cancers, involving abnormal cell changes and uncontrollable growth leading to tumors. It’s a leading cause of cancer-related deaths and can spread throughout the body if untreated. An efficient detection system is crucial, and multimodal fusion techniques offer greater accuracy than single-data-type models. Our approach for diagnosing recurrent lung cancer combines clinical and imaging data from a radiogenomic dataset. We create two unique models specific to their datasets and combine them using a late fusion strategy. This includes data gathering, preprocessing, feature extraction, and identifying recurrent lung cancer. Models are individually trained and then combined, aiming to select the best model based on accuracy and mean absolute error (MAE). Deep Learning is effective for clinical data processing, and CNNs like ResNet50 have shown promising results in image classification over traditional CNNs like VGG-16. The late fusion technique enhances predictive outcomes for multi-source datasets. Using an ensemble of models with an averaging method achieves a $78.04 \\%$ accuracy rate, surpassing individual models. Our project focuses on the often-neglected aspect of recurrent lung cancer, emphasizing the need for early detection techniques. By using advanced fusion methods, integrated various data sources and models, improving predictive precision and advancing cancer detection and patient care
SNMP Watcher: A Model to Detect DoS and DDoS Attacks Using SNMP Management Information Base Analysis
V. Surya Narayana Reddy, P. Subhash, Ch. Vinay Kumar, M. Samuel, G. Vishal Reddy, G. Tharun
Lecture Notes in Networks and Systems, 2024
A Security Framework for the Detection of Targeted Attacks Using Honeypot
P. Subhash, Mohammed Qayyum, C. Likhitha Varsha, K. Mehernadh, J. Sruthi, A. Nithin
Lecture Notes in Networks and Systems, 2024
rankIMPACT: A Study of Rank Attacks impact over RPL based Internet of Things Networks
P Subhash
International Symposium on Advanced Networks and Telecommunication Systems Ants, 2023
Breast Cancer Classification and Predicting Class Labels Using ResNet50
Et al. T.Sunil Kumar
Journal of Electrical Systems, 2023
Optimal Cluster Head Selection in WSN with Convolutional Neural Network-Based Energy Level Prediction
Sasikumar Gurumoorthy, Parimella Subhash, Rocio Pérez de Prado, Marcin Wozniak
Sensors, 2022
Analysis of Smart Grid Data for Appliance Prediction and Efficient Power Consumption
P. Subhash, K. Samrat Surya, A Brahmananda Reddy
Proceedings 2022 International Conference on Recent Trends in Microelectronics Automation Computing and Communications Systems Icmacc 2022, 2022
Power Trust: Energy Auditing Aware Trust-Based System to Detect Security Attacks in IoT
P. Subhash, Gollapudi Ramesh Chandra, K. Samrat Surya
2021 International Conference on Wireless Communications Signal Processing and Networking Wispnet 2021, 2021
Event organization system for turnout estimation with user group analysis model
P. Subhash, N. Venkata Sailaja, A. Brahmananda Reddy
Advances in Intelligent Systems and Computing, 2021
SmartRPL: Secure RPL Routing Protocol for Internet of Things Using Smart Contracts
P. Subhash, P. Navya Sree, M. Pratyusha
Smart Innovation Systems and Technologies, 2021
Sentiment research on twitter data
A. Brahmananda Reddy, D. N. Vasundhara, P.V. Subhash, Hamid Bagheri, Johirul Md, et al.
International Journal of Recent Technology and Engineering, 2019
Multi-modal summarization of read, watch, listen for text and multimedia content
International Journal of Innovative Technology and Exploring Engineering, 2019
A new approach to represent textual documents using CVSM
A. Brahmananda Reddy, Sagar Yeruva, P. Subhash
International Journal of Engineering and Technology Uae, 2018
Trust based HWMP protocol in high-performance wireless mesh networks
International Journal of Network Security, 2016
Secure neighbor verification protocol in wireless mesh networks
Journal of Theoretical and Applied Information Technology, 2015
Secure neighbour discovery in wireless mesh networks using connectivity information
P Subhash, S Ramachandram
2015 International Conference on Advances in Computing Communications and Informatics Icacci 2015, 2015
Mitigating FRI-attack using Virtual Co-ordinate system in multi-hop Wireless Mesh Networks
P. Subhash, S. Ramachandram
Advances in Intelligent Systems and Computing, 2015
Preventing wormholes in multi-hop wireless mesh networks
P. Subhash, S. Ramachandram
International Conference on Advanced Computing and Communication Technologies Acct, 2013
Security issues of data query processing and location monitoring in MANETS
Mohammed Qayyum, P. Subhash, Mohammed Husamuddin
Proceedings 2012 International Conference on Communication Information and Computing Technology Iccict 2012, 2012

RECENT SCHOLAR PUBLICATIONS

Intelligent IoT-Based System for Real-Time Agricultural Monitoring and Automated Irrigation
S Nidamanuri, M Srinivas, A Ranjith, AM Reddy, P Subhash
2025 IEEE 2nd International Conference on Green Industrial Electronics and … , 2025
2025
OMM-RLC Optimised Multimodal Fusion For Recurrence Lung Cancer Detection
P Subhash, D Manju, V Sreaya, P Sharath, S Shreyana, P Manideep
2024 IEEE 6th International Conference on Cybernetics, Cognition and Machine … , 2024
2024
Blockchain enhanced certificate authentication system using ipfs
P Subhash, BV Reddy, K Varun, PS Kiran, V Abhishek
International Conference on Computer & Communication Technologies, 525-538 , 2024
2024
Citations: 1
A Novel Concurrent Data Collection Protocol for IoT Networks
R Matam, P Subhash
Advances in Computational Intelligence and Its Applications, 89-98 , 2024
2024
Citations: 1
Controlled blockchain enabled data record security for healthcare applications
SSN Chintapalli, SP Paramesh, GS Nijaguna, JRA Jeyaraj, P Subhash
Neural Computing and Applications 36 (17), 9617-9629 , 2024
2024
Citations: 10
Risk assessment threat modelling using an integrated framework to enhance security
P Subhash, M Qayyum, K Mehernadh, KJ Sahit, CL Varsha, MN Hardeep
J. Theor. Appl. Inf. Technol 102 (9), 3857-3867 , 2024
2024
Citations: 8
Visual Profiling and Automated Classification of Malware Samples using Deep Learning.
P Subhash¹, YS Varsha, KS Reddy, B Akshaya, S Kalyanis
Proceedings of the Fourth International Conference on Advances in Computer … , 2023
2023
rankIMPACT: A Study of Rank Attacks impact over RPL based Internet of Things Networks
P Subhash
2023 IEEE International Conference on Advanced Networks and … , 2023
2023
Citations: 4
Development of Telugu Treebank Using Panini Karaka Relations for Dependency Parsing
G Nagaraju, GS Ramesh, P Subhash, M Srinivas, V Pulipati
International Conference on Soft Computing and Pattern Recognition, 335-343 , 2023
2023
CNN-Based Approach for Predicting Class Labels in Breast Cancer Classification
D Manju, G Nagaraju, TS Kumar, RY Rani, B Gouthami, P Subhash
International Conference on Soft Computing and Pattern Recognition, 395-404 , 2023
2023
Breast Cancer Classification and Predicting Class Labels Using ResNet50.
TS Kumar, G Sridhar, D Manju, P Subhash, G Nagaraju
Journal of Electrical Systems 19 (4) , 2023
2023
Citations: 4
A security framework for the detection of targeted attacks using honeypot
P Subhash, M Qayyum, C Likhitha Varsha, K Mehernadh, J Sruthi, ...
International Conference on Computer & Communication Technologies, 183-192 , 2023
2023
Citations: 7
Performance Study of Three Different Types of Data Center Network Architectures, NovaCube, BCube, and FatTree Using NS-3 Simulator
A Ranjith, P Subhash, G Nagaraju, M Srinivas, A Prashanth
International Conference on Computer & Communication Technologies, 411-421 , 2023
2023
Citations: 1
SNMP Watcher: A Model to Detect DoS and DDoS Attacks Using SNMP Management Information Base Analysis
V Surya Narayana Reddy, P Subhash, C Vinay Kumar, M Samuel, ...
International Conference on Computer & Communication Technologies, 193-203 , 2023
2023
Citations: 3
Analysis of Smart Grid Data for Appliance Prediction and Efficient Power Consumption
P Subhash, KS Surya, AB Reddy
2022 International Conference on Recent Trends in Microelectronics … , 2022
2022
Citations: 2
Optimal cluster head selection in WSN with convolutional neural network-based energy level prediction
S Gurumoorthy, P Subhash, R Pérez de Prado, M Wozniak
Sensors 22 (24), 9921 , 2022
2022
Citations: 34
SmartRPL: Secure RPL Routing Protocol for Internet of Things Using Smart Contracts
P Subhash, P Navya Sree, M Pratyusha
Smart Computing Techniques and Applications: Proceedings of the Fourth … , 2021
2021
Power trust: Energy auditing aware trust-based system to detect security attacks in IoT
P Subhash, GR Chandra, KS Surya
2021 Sixth International Conference on Wireless Communications, Signal … , 2021
2021
Citations: 5
Multi-classification for cardiac arrhythmia detection using deep learning approach
P Subhash, PG Sai, NR Reddy, A Pampati, SK Palavarapu
Machine Learning Technologies and Applications: Proceedings of ICACECS 2020 … , 2021
2021
Citations: 1
Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021
AE Hassanien, KC Chang, T Mincong
Springer Nature , 2021
2021
Citations: 38

MOST CITED SCHOLAR PUBLICATIONS

Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021
AE Hassanien, KC Chang, T Mincong
Springer Nature , 2021
2021
Citations: 38
Optimal cluster head selection in WSN with convolutional neural network-based energy level prediction
S Gurumoorthy, P Subhash, R Pérez de Prado, M Wozniak
Sensors 22 (24), 9921 , 2022
2022
Citations: 34
Sentiment research on Twitter data
A Reddy, DN Vasundhara, P Subhash
Int J Recent Technol Eng 8 (5), 1068-1070 , 2019
2019
Citations: 17
Controlled blockchain enabled data record security for healthcare applications
SSN Chintapalli, SP Paramesh, GS Nijaguna, JRA Jeyaraj, P Subhash
Neural Computing and Applications 36 (17), 9617-9629 , 2024
2024
Citations: 10
Security issues of data query processing and location monitoring in manets
M Qayyum, P Subhash, M Husamuddin
2012 International Conference on Communication, Information & Computing … , 2012
2012
Citations: 9
Risk assessment threat modelling using an integrated framework to enhance security
P Subhash, M Qayyum, K Mehernadh, KJ Sahit, CL Varsha, MN Hardeep
J. Theor. Appl. Inf. Technol 102 (9), 3857-3867 , 2024
2024
Citations: 8
Preventing wormholes in multi-hop wireless mesh networks
P Subhash, S Ramachandram
2013 Third International Conference on Advanced Computing and Communication … , 2013
2013
Citations: 8
A security framework for the detection of targeted attacks using honeypot
P Subhash, M Qayyum, C Likhitha Varsha, K Mehernadh, J Sruthi, ...
International Conference on Computer & Communication Technologies, 183-192 , 2023
2023
Citations: 7
Secure neighbour discovery in wireless mesh networks using connectivity information
P Subhash, S Ramachandram
2015 International Conference on Advances in Computing, Communications and … , 2015
2015
Citations: 7
Power trust: Energy auditing aware trust-based system to detect security attacks in IoT
P Subhash, GR Chandra, KS Surya
2021 Sixth International Conference on Wireless Communications, Signal … , 2021
2021
Citations: 5
rankIMPACT: A Study of Rank Attacks impact over RPL based Internet of Things Networks
P Subhash
2023 IEEE International Conference on Advanced Networks and … , 2023
2023
Citations: 4
Breast Cancer Classification and Predicting Class Labels Using ResNet50.
TS Kumar, G Sridhar, D Manju, P Subhash, G Nagaraju
Journal of Electrical Systems 19 (4) , 2023
2023
Citations: 4
Trust based HWMP protocol in high-performance wireless mesh networks
P Subhash, S Ramachandram
work 5 (6), 11-25 , 2016
2016
Citations: 4
SNMP Watcher: A Model to Detect DoS and DDoS Attacks Using SNMP Management Information Base Analysis
V Surya Narayana Reddy, P Subhash, C Vinay Kumar, M Samuel, ...
International Conference on Computer & Communication Technologies, 193-203 , 2023
2023
Citations: 3
Analysis of Smart Grid Data for Appliance Prediction and Efficient Power Consumption
P Subhash, KS Surya, AB Reddy
2022 International Conference on Recent Trends in Microelectronics … , 2022
2022
Citations: 2
Blockchain enhanced certificate authentication system using ipfs
P Subhash, BV Reddy, K Varun, PS Kiran, V Abhishek
International Conference on Computer & Communication Technologies, 525-538 , 2024
2024
Citations: 1
A Novel Concurrent Data Collection Protocol for IoT Networks
R Matam, P Subhash
Advances in Computational Intelligence and Its Applications, 89-98 , 2024
2024
Citations: 1
Performance Study of Three Different Types of Data Center Network Architectures, NovaCube, BCube, and FatTree Using NS-3 Simulator
A Ranjith, P Subhash, G Nagaraju, M Srinivas, A Prashanth
International Conference on Computer & Communication Technologies, 411-421 , 2023
2023
Citations: 1
Multi-classification for cardiac arrhythmia detection using deep learning approach
P Subhash, PG Sai, NR Reddy, A Pampati, SK Palavarapu
Machine Learning Technologies and Applications: Proceedings of ICACECS 2020 … , 2021
2021
Citations: 1
SECURE NEIGHBOR VERIFICATION PROTOCOL IN WIRELESS MESH NETWORKS.
P Subhash, S Ramachandram
Journal of Theoretical & Applied Information Technology 82 (2) , 2015
2015
Citations: 1

Dr. P SUBHASH

RESEARCH INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS