Ramkumar

@tce.edu

Associate Professor, Computer Science and Engineering
Thiagarajar College of Engineering

Ramkumar


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https://researchid.co/ramkumar

EDUCATION

B.E- Computer Science and Engineering, Noorul Islam College of Engineering / M.S.University, Tirunelveli,2000
M.E- Computer Science and Engineering, Engineering College / Anna University, Chennai,2004
Information and Communication Engineering, Anna University, Chennai,2018

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Networks and Communications, Information Systems
55

Scopus Publications

405

Scholar Citations

11

Scholar h-index

12

Scholar i10-index

Scopus Publications

  • Optimizing Software Engineering Project Plan Using Genetic Algorithm and AI
    K. M. Harini Kannamma, G. S. R. Emil Selvan, M. P. Ramkumar, Sridaran Rajagopal
    Communications in Computer and Information Science, 2026
    The Global Software Engineering (GSE) team works across geography. Project planning is one important phase before starting with the actual work, for any type of project. Planning involves discussion with multiple stakeholder before the plan to put up in the plan sheet. In today’s working environment with respect to the industry most of the time the planning will go through the change due to several factors like talent availability, technical competencies, requirement understanding, etc. it is very important to maintain the project plan as it directly links with the project success. Currently the plan is majorly maintained by excel or some planning tool available in the market. Still there is much manual effort involved to maintain the plan. The impact is due to any reason of delay, the plan affects, the changes are not covered completely. In this work trying to apply the Plan Assess React (PAR) approach that reviewing the plan periodically with proper findings and solutioning effectively. So, in this work the intend to address the optimization of the tactical planning for the fast-growing software industry using the Plan Assess React (PAR) approach using Genetic Algorithm with an AI inclusive. This is going to help in validating the plan with each check activity progress, on any change occurs update and maintain successfully. To bring the optimization as the work focus on, the approach used here is the Genetic algorithm as it is a proven study and very helpful to give the near real time optimal solution. Also, the AI is used here in the methodology to apply technology advancement for the automation and reduce the manual work as well. Based on the study the merge of Genetic algorithm with an AI is a good fit-in for the result of optimization. Hence this work showcases the proactive planning using the Genetic algorithm approach with an AI inclusive and foreseeing the active phase of any project for a program. With this work will directly benefit the industry people, project managers, and the researchers.
  • Federated Learning for Sustainable Energy Efficiency: A Privacy-Preserving Artificial Intelligence Approach with Attention Mechanisms
    Ramya Chinnasamy, Malliga Subramanian, Nandita Sengupta, M. P. Ramkumar
    Studies in Big Data, 2026
  • Hybrid Decentralization for Real-Time Messaging: A Smart Contract and IPFS-Based Approach on Ethereum
    Venkatesh Babu R, Vignesh D, Sibaath Ahmed S, M P Ramkumar, G S R Emil Selvan
    Proceedings of the IEEE International Conference on AI Engineering and Innovations Aiei 2026, 2026
    The conventional messaging platform such as WhatsApp or Telegram is based on a centralized server, which fundamentally creates a gateway to censorship, surveillance, and points of failure. In essence, that is damaging to the user privacy and information security. In this paper, therefore, we develop and implement a Decentralized Chat Application (DCA) using Ethereum blockchain. Based on the fundamental capabilities of distributed ledger technologies, namely, immutability, transparency, and trustlessness, we are building a reliable, censorship-resistant chat service. The application operates under Ethereum Smart Contracts to handle decentralized user identities and to store public encryption keys safely as well as establishing chat channels. Our practical message content and media flows are stashed into an effective Peer-to-Peer (P2P) network, potentially stashed in off-chain storage such as Interplanetary File System(IPFS), but all messages are End-to-End Encrypted.The DCA model provides a good framework of the next-gen secure, private, and autonomous social interaction, as it leaves the end-users with complete ownership and control over their digital communication by abandoning the central authority.
  • Streamlined NDN Routing with Regular Expression: Filtering and Traffic Efficiency
    O.S. Divyalaxmi, N. Jeyanthi, S. Priyanka, G.S.R. Emil Selvan, M.P. Ramkumar
    Research Advances in Network Technologies Volume 3, 2026
    Named Data Networking (NDN) is a framework that shifts the focus from conventional Internet Protocol (IP) address-based routing to content-based routing using hierarchical names. While NDN introduces significant advantages in content retrieval and scalability, its reliance on exact name prefix matching limits the flexibility and expressiveness of Interest packet routing. Here, we propose an enhanced routing methodology using regular expression (regex)-based matching for hierarchical names. This method extends the capabilities of Forwarding Information Base (FIB), Content Store (CS), and Pending Interest Table (PIT), allowing for more flexible content retrieval and forwarding strategies. Our solution improves routing efficiency by supporting pattern-based name matching, which benefits scenarios with dynamic content, multi-producer environments, and complex hierarchical naming structures.
  • A Blockchain-Integrated Framework for IoV Systems and Autonomous Driving
    B. Gokul, K. Jaivishnu, T. Praveen Kumar, G.S.R. Emil Selvan, M.P. Ramkumar
    Research Advances in Network Technologies Volume 3, 2026
    The Internet of Vehicles (IoV) is rapidly transforming the transportation landscape by enabling real-time communication between vehicles, infrastructure, and external networks. However, ensuring the security, efficiency, and responsiveness of IoV systems presents significant challenges. This paper proposes a comprehensive framework to address these complexities, integrating state-of-the-art technologies for secure and efficient vehicle operations. A fine-tuned large language model (LLM) is introduced to enhance navigation through unpredictable traffic, optimizing decision-making for both human-driven and autonomous vehicles. To safeguard data dissemination, blockchain technology is utilized, providing decentralized security, privacy, and trust across vehicle-to-everything (V2X) communications. In addition, a custom-built driver monitoring system (DMS) is developed to monitor driver alertness and respond to emergencies by activating autonomous driving systems when necessary. The framework further integrates IoV with smart traffic systems to optimize real-time traffic flow and route planning. The use of 5G technology ensures Ultra Reliable Low Latency Communication (URLLC), facilitating seamless, real-time data transmission between vehicles and infrastructure. This holistic approach addresses critical issues in data security, driver safety, and traffic management, offering a robust foundation for the future of IoV.
  • DM-AOM: a multi-objective optimization model for wirelength and layout area minimization in WSN node design
    R. Jeyarohini, K. R. Aravind Britto, M. P. Ramkumar
    Wireless Networks, 2025
  • Trust Based Federated Learning for Privacy-preserving in Connected Smart Communities
    S Difrina, M P Ramkumar, G S R Emil Selvan
    Proceedings of 2025 2nd International Conference on Cognitive Robotics and Intelligent Systems Icc Robins 2025, 2025
    Federated Learning (FL) has become a prominent privacy-preserving method for training machine learning models across distributed edge devices. The FL frameworks frequently function under the uniform trust assumption, which assumes that all participating nodes have the same level of security and dependability. This presumption ignores how heterogeneous IoT ecosystems are by nature, with different computing power, security and reliability impacting the training models. Significant vulnerabilities arise by the presence of resourceconstrained devices with varying performance characteristics and a variety of risk profiles. A trust based federated learning framework is proposed for audio classification that combines data partitioning based on Jaccard similarity and dynamic trustaware node selection. In each training round, the trust score is calculated based on the different parameters, including data breaches, reputation decay, security compliance, communication efficiency, contribution correctness and confidence factor. To guarantee a safe and efficient aggregation process, only nodes with trust scores greater than 0.7 are allowed to take part in the federated learning. Furthermore, the effective data splitting technique based on Jaccard similarity guarantees representative and varied data partitions for efficient model training. For audio categorisation, a modified ResNet34 has been used to adjust the inputs from 1 -channel spectrograms. Compared to the conventional FL approaches, experimental results shows that the proposed trust aware federated learning improves training speed, increases model robustness and reduces the impact of malicious or unreliable nodes. The proposed work highlights the potential of trust-based FL in privacy-sensitive IoT applications, paving the way for more secure and efficient decentralized learning frameworks.
  • Predicting Crop Yield Based on Bagging Ensemble Model in Machine Learning
    K Umamaheswari, M.P. Ramkumar, N.Hema Priya
    2025 4th International Conference on Smart Technologies and Systems for Next Generation Computing Icstsn 2025, 2025
    This paper is concerned with various machine Learning (ML) techniques to estimate the crop yield based on various factors, followed by an averaging technique. Multiple models are utilised by this ensemble machine learning technique called Bagging, taking weak learners as the base model to make the prediction. The pertinent ML algorithms that support crop yield prediction are Support Vector machines (SVM), Random trees (RT), Linear Regression (LR), K Nearest Neighbour (KNN), Random Forest (RF), Multiple Regression (MR), Support Vector Regression (SVR), Artificial Neural Networks (ANN) and Deep Neural Networks (DNN). Of these, in this paper, Classification and Regression Tree (CART), Ridge Regression (RR), eXtreme Gradient Boosting (XGBoost), and Artificial Neural Network (ANN) were implemented along with Bagging as the ensemble technique. The output of the entity models was thus averaged to give a final prediction.
  • Adaptive Scheduled OFDMA with Micro-Windows Airtime Slicing (ASOAS) for Congestion Control and QoS Enhancement in Wi-Fi 6 Networks
    A Sowmia, G. S. R. Emil Selvan, M. P. Ramkumar
    5th IEEE International Conference on Mobile Networks and Wireless Communications Icmnwc 2025, 2025
    VoIP, AR/VR and robotic control services are real-time and need to have a low latency wireless connection that is very reliable. Nonetheless, Wi-Fi implementations to enterprise and healthcare are often characterized by congestion, delay and packet loss, poor QoS despite Wi-Fi 6 capabilities such as OFDMA, MU-MIMO and TWT because of constraints in existing scheduling. To mitigate this, we suggest an ASOAS framework to combine micro-window scheduling, airtime slicing and lightweight machine learning to dynamically assign slots to critical traffic but otherwise fairly deal with competing flows. Figure 1 illustrates that ASOAS can eliminate delay up to $\times 10$, reduce packet loss by 20 percent to 1 percent and enhance throughput and fairness. The results show that ASOAS has a great potential to improve the QoS of delay-constrained applications in dense Wi-Fi networks and can be a future trend in wireless congestion control methods.
  • Reference-Guided Generative Adversarial Network for Image Defogging
    K. Z. Alsafa, G. S. R. Emil Selvan, M. P. Ramkumar
    5th IEEE International Conference on Innovations in Power and Advanced Computing Technologies I Pact 2025, 2025
    Fog reduces visibility for drivers making it challenging to see what is in front of them <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1 0 0 0}$</tex> meters away. This weather condition has resulted in accidents threatening road safety. The Ministry of Road Transport and Highways has reported that fog is responsible for over <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{3 0, 0 0 0}$</tex> road accidents annually in India. Besides transport safety, fog is a serious challenge to computer vision technologies such as autonomous vehicles. Conventional defogging techniques and recent Generative Adversarial Network (GAN) techniques tend to be poor at reconstructing static objects such as buildings, and roads fully covered by fog. To mitigate this deficiency, a modified Pix2Pix GAN with a dual input generator is proposed. This proposed model leverages spatially aligned reference street-view images of the same foggy scene to aid the restoration process, improving visibility, and detail preservation. Alignment of the reference image is done based on homography so that its features are in the same position as that of the foggy image. Based on evaluation metrics, it is proved that this approach achieves better recovery of essential scene structures typically occluded in thick fog conditions over baseline Pix2Pix and CycleGAN models. This research supports safer autonomous movement and the ability to see beyond fog.
  • An Adaptive Deep Learning-based ARP Spoofing Detection Framework with Hybrid Thresholding
    Dharani M, Nivedhidha M, Ramkumar M P, Emil Selvan G S R
    Proceedings of the 2025 11th International Conference on Communication and Signal Processing Iccsp 2025, 2025
  • Mitigation of Distributed Denial of Service Attack in a Software Defined Network Using Flow Entry Based Open Flow Methodology
    K. Bavani, M. P. Ramkumar, G. S. R. Emil Selvan, M. Mahalakshmi
    Lecture Notes in Networks and Systems, 2025
  • An Integrated and Dimensionality Reduced Ensemble Learning Model for Securing Iomt Networks
    Parkavi S, Ramkumar M P, Emil Selvan G S R, Abiramikayathiri S
    2025 17th IEEE International Conference on Computational Intelligence and Communication Networks Cicn 2025, 2025
  • Optimized Hybrid Deep Learning Approach for Detecting DoS Attacks Using Feature Selection in Wireless Sensor Networks
    S Sasson Taffwin Moses, L Abraham David, G S R Emil Selvan, M P Ramkumar
    IEEE International Conference on Computational Communication and Information Technology Icccit 2025, 2025
  • IoMT Intrusion Detection System: A CNN-LSTM Hybrid with Adaptive Learning
    Nivedhidha M, Ramkumar M P, Dharani M, Emil Selvan G S R
    Proceedings of the 2025 11th International Conference on Communication and Signal Processing Iccsp 2025, 2025
  • A Hybrid Deep Learning Model with Isolated Thresholding for Intrusion Detection in Wireless Sensor Networks
    Sasson Taffwin Moses S, Abraham David L, Emil Selvan G S R, Ramkumar M P
    5th IEEE International Conference on Innovations in Power and Advanced Computing Technologies I Pact 2025, 2025
  • Deanonymizing Tor Networks - Collecting PII via SQL Vulnerabilities
    Manoj S, Sanjay G, Vijay Krishna A N, Ramkumar M P, Emil Selvan G S R
    Proceedings of 2025 International Conference on Signal Processing Computation Electronics Power and Telecommunication Iconscept 2025, 2025
  • Earthquake-Induced Damage Grade Prediction in Buildings Using Machine Learning
    J. Blessy Karunya, S. Varshini, R. Jasmitha, G. S. R. Emil Selvan, M. P. Ramkumar
    Lecture Notes in Electrical Engineering, 2025
  • Data Balancing in Darknet Traffic Classification Using Deep Learning
    M. Mahalakshmi, P. Vijay Kumar, S. Navin Kumar, S. Meenakshi Sundaram, M. P. Ramkumar, G. S. R. Emil Selvan
    Lecture Notes in Networks and Systems, 2025
  • STD-net: saree texture detection via deep learning framework for E-commerce applications
    D. Karthika Priya, B. Sathya Bama, M. P. Ramkumar, S. Mohamed Mansoor Roomi
    Signal Image and Video Processing, 2024
  • ADTBO: Aquila driving training-based optimization with deep learning for skin cancer detection
    Vadamodula Prasad, Emil Selvan G. S. R., Ramkumar M. P.
    Imaging Science Journal, 2024
  • Protocol Anomaly Detection in IIoT
    S. S. Prasanna, G. S. R. Emil Selvan, M. P. Ramkumar
    Communications in Computer and Information Science, 2024
  • Futuristic Diabetes Prediction: Employing Machine Learning for Timely Diagnosis
    Kaviyaadharshani D, Nivedhidha M, M P Ramkumar, G S R Emil Selvan
    2024 International Conference on Recent Advances in Electrical Electronics Ubiquitous Communication and Computational Intelligence Raeeucci 2024, 2024
  • Load Balancing and Energy Efficient Routing in Software-Defined Networking
    M. P. Ramkumar, J. Lece Elizabeth Rani, R. Jeyarohini, G. S. R. Emil Selvan, Rahul Shiva Konar
    Communications in Computer and Information Science, 2024
  • Optimized Traffic Management in Software Defined Networking
    M. P. Ramkumar, J. Lece Elizabeth Rani, R. Jeyarohini, G. S. R. Emil Selvan, S. Arun Karthick
    Communications in Computer and Information Science, 2024
  • Detection of ARP Spoofing with Optimized False Alarm Using Deep Learning Based Absolute Thresholding
    Dharani M, Nivedhidha M, Sangeetha A, Saravanan V, Ramkumar M P, Emil Selvan G S R
    4th International Conference on Sustainable Expert Systems Icses 2024 Proceedings, 2024
  • Diagnosing Diabetes using Machine Learning-based Predictive Models
    D Kaviyaadharshani, M Nivedhidha, R Jeyarohini, J Lece Elizabeth Rani, M P Ramkumar, G S R Emil Selvan
    Procedia Computer Science, 2024
  • Spinalnet-deep Q network with hybrid optimization for detecting autism spectrum disorder
    Sakthi Ulaganathan, M. P. Ramkumar, G. S. R. Emil Selvan, C. Priya
    Signal Image and Video Processing, 2023
  • Optimization and Representation of Non-Slicing VLSI Floorplanning
    R. Jeyarohini, K. R. Aravind Britto, M. P. Ramkumar
    Proceedings of the 4th International Conference on Smart Electronics and Communication Icosec 2023, 2023
  • Detection of Ductal Carcinoma Using Restricted Boltzmann Machine and Autoencoder (RBM-AE) in PET Scan
    J. Lece Elizabeth Rani, M. P. Ramkumar, G. S. R. Emil Selvan
    Lecture Notes in Electrical Engineering, 2023
  • Anomaly-based Intrusion Detection System for ICS
    Prasanna S S, G. S. R. Emil Selvan, M. P. Ramkumar
    2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
  • Rail Fastener Fault Detection Based on Enhanced YOLOv7 Model
    D. Karthika Priya, M.P. Ramkumar, D. Menaka
    Proceedings of the International Conference on Circuit Power and Computing Technologies Iccpct 2023, 2023
  • CopulaGAN Boosted Random Forest based Network Intrusion Detection System for Hospital Network Infrastructure
    Harshini Sivakami V, Nivedhidha M, Ramkumar M P, Emil Selvan G S R
    2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
  • Goodput Improvement with Low–Latency in Data Center Network
    M. P. Ramkumar, G. S. R. Emil Selvan, M. Mahalakshmi, R. Jeyarohini
    Lecture Notes in Electrical Engineering, 2023
  • Brain Tumor Detection via Deep Learning Framework on MRI Images
    Arun Karthick S, Rahul Shiva Konar, Harshavarthini V S, Ramkumar M P, Emil Selvan G S R
    2023 International Conference on Communication Circuits and Systems Ic3s 2023, 2023
  • Malware Detection in Android Application using Static Permission
    Subash A, Shane Rex S, Vijay G, G S R Emil Selvan, M P Ramkumar
    Proceedings of the 5th International Conference on Inventive Research in Computing Applications Icirca 2023, 2023
  • SMOTE Variants for Data Balancing in Intrusion Detection System Using Machine Learning
    S. Sams Aafiya Banu, B. Gopika, E. Esakki Rajan, M. P. Ramkumar, M. Mahalakshmi, G. S. R. Emil Selvan
    Lecture Notes in Electrical Engineering, 2023
  • HDD Failure Detection using Machine Learning
    I. Gokul Ganesh, A. Selva Sugan, S. Hariharan, M. P. Ramkumar, M. Mahalakshmi, G. S. R. Emil Selvan
    Lecture Notes in Electrical Engineering, 2023
  • Deep maxout network for lung cancer detection using optimization algorithm in smart Internet of Things
    Muthuperumal Periyaperumal Ramkumar, Pauliah David Mano Paul, Balajee Maram, John Patrick Ananth
    Concurrency and Computation Practice and Experience, 2022
  • Intrusion detection using optimized ensemble classification in fog computing paradigm
    Ramkumar M.P., T. Daniya, P. Mano Paul, S. Rajakumar
    Knowledge Based Systems, 2022
  • FACVSPO: Fractional anti corona virus student psychology optimization enabled deep residual network and hybrid correlative feature selection for distributed denial-of-service attack detection in cloud using spark architecture
    Ramkumar Muthuperumal Periyaperumal, Ganeshan Ramasamy, Maria Azees, Ulaganathan Sakthi
    International Journal of Adaptive Control and Signal Processing, 2022
  • Autonomous navigation system based on a dynamic access control architecture for the internet of vehicles
    Ramkumar M. P, Suresh Ponnan, Siddharth Shelly, Md. Zair Hussain, Mohd Ashraf, Anandakumar Haldorai
    Computers and Electrical Engineering, 2022
  • Intrusion detection in big data using hybrid feature fusion and optimization enabled deep learning based on spark architecture
    Ramkumar M .P . , P.V. Bhaskar Reddy, J.T. Thirukrishna, Ch. Vidyadhari
    Computers and Security, 2022
  • Machine Learning Based Feature Selection for DDoS Detection in Named Data Networking
    Subasri I, Emil Selvan G S R, Ramkumar M P
    Proceedings 2022 4th International Conference on Advances in Computing Communication Control and Networking Icac3n 2022, 2022
  • SCADA Intrusion Detection System using Cost Sensitive Machine Learning and SMOTE-SVM
    Mahalakshmi M, Ramkumar M P, Emil Selvan G S R
    Proceedings 2022 4th International Conference on Advances in Computing Communication Control and Networking Icac3n 2022, 2022
  • Routing Scalability in Named Data Networking
    Deepa S, Nivetha S, Thulasi Lakshmi K, Emil Selvan G S R, Ramkumar M P
    Proceedings 2022 4th International Conference on Advances in Computing Communication Control and Networking Icac3n 2022, 2022
  • Text Summarization Using Text Frequency Ranking Sentence Prediction
    Meena S M, Ramkumar M P, Asmitha R E, Emil Selvan G SR
    4th International Conference on Computer Communication and Signal Processing Icccsp 2020, 2020
  • Statistical Approach Based Detection of Distributed Denial of Service Attack in a Software Defined Network
    Bavani K, Ramkumar M P, Emil Selvan G S R
    2020 6th International Conference on Advanced Computing and Communication Systems Icaccs 2020, 2020
  • Performance analysis of ranking models in information retrieval
    M Bhavadharani, M P Ramkumar, Selvan G S R Emil
    Proceedings of the International Conference on Trends in Electronics and Informatics Icoei 2019, 2019
  • Pending Interest Lifetime Mechanism for Vehicular Named Data Networks
    G Manisha, G S R Emil Selvan, M P Ramkumar
    Proceedings International Conference on Vision Towards Emerging Trends in Communication and Networking Vitecon 2019, 2019
  • Interest Forwarding Strategies in Vehicular Named Data Networks
    G Manisha, Selvan G S R Emil, M P Ramkumar
    8th International Conference on Computation of Power Energy Information and Communication Iccpeic 2019, 2019
  • Information Retrieval in Search Engines Using Pseudo Relevance Feedback Mechanism
    Bhavadharani M, Ramkumar M P, Emil Selvan G S R
    Proceedings International Conference on Vision Towards Emerging Trends in Communication and Networking Vitecon 2019, 2019
  • Access Time Optimization in Data Replication
    V. Srijha, M.P. Ramkumar
    Proceedings of the 2nd International Conference on Trends in Electronics and Informatics Icoei 2018, 2018
  • RAID-6 code variants for recovery of a failed disk
    M. P. Ramkumar, N. Balaji, G. S. R. Emil Selvan, R. Jeya Rohini
    Advances in Intelligent Systems and Computing, 2018
  • Single disk recovery and load balancing using parity declustering
    M. P Ramkumar, Balaji Narayanan, G. S. R. Emil Selvan, M Ragapriya
    Journal of Computational and Theoretical Nanoscience, 2017

RECENT SCHOLAR PUBLICATIONS

  • A Multi-Layer Blockchain Framework with Zero-Knowledge Proof-Based Privacy Protection to Secure Electronic Health Records
    J Ayyana Prabu, MP Ramkumar, GSR Emil Selvan, S Muthumeena, ...
    2026 4th International Conference on Artificial Intelligence and Machine … , 2026
    2026
  • Lightweight Cryptographic Approach for Secure Port Document Storage
    OS Divyalaxmi, N Jeyanthi, S Priyanka, GSR Emil Selvan, MP Ramkumar
    2026 Third International Conference on Networking and Communications (ICNWC … , 2026
    2026
  • Explainable Agentic AI for Autonomous Battery Health Prediction and Management
    RAJ Harini, M Priyanka, M Subhashini, GSRE Selvan, MP RamKumar
    2026 Third International Conference on Networking and Communications (ICNWC … , 2026
    2026
  • A Convolutional and Bidirectional GRU Framework for Intrusion Detection to protect IoMT Environments
    M Nivedhidha, MP Ramkumar, GSR Emil Selvan
    2026 Third International Conference on Networking and Communications (ICNWC … , 2026
    2026
  • A Blockchain-Integrated Framework for IoV Systems and Autonomous Driving. In Research Advances in Network Technologies
    B Gokul, K Jaivishnu, TP Kumar, GE Selvan, MP Ramkumar
    Research Advances in Network Technologies 3, 65-77 , 2026
    2026
  • Streamlined NDN Routing with Regular Expression: Filtering and Traffic Efficiency. In Research Advances in Network Technologies
    OS Divyalaxmi, N Jeyanthi, S Priyanka, GE Selvan, MP Ramkumar
    Research Advances in Network Technologies 3, 78-92 , 2026
    2026
  • Hybrid Decentralization for Real-Time Messaging: A Smart Contract and IPFS-Based Approach on Ethereum
    R Venkatesh Babu, D Vignesh, S Sibaath Ahmed, MP Ramkumar, ...
    2026 IEEE International Conference on AI Engineering and Innovations (AIEI … , 2026
    2026
  • Deanonymizing Tor Networks-Collecting PII via SQL Vulnerabilities
    S Manoj, G Sanjay, AN Vijay Krishna, MP Ramkumar, GSR Emil Selvan
    2025 International Conference on Signal Processing, Computation, Electronics … , 2026
    2026
  • Optimizing Software Engineering Project Plan Using Genetic Algorithm and AI
    KM Harini Kannamma, GSR Emil Selvan, MP Ramkumar, S Rajagopal
    AI & ML - Frontiers in Cross Disciplinary Applications & Case Studies. AI … , 2026
    2026
  • Predicting Crop Yield Based on Bagging Ensemble Model in Machine Learning
    K Umamaheswari, MP Ramkumar, NH Priya
    2025 Fourth International Conference on Smart Technologies and Systems for … , 2026
    2026
  • An Integrated and Dimensionality Reduced Ensemble Learning Model for Securing Iomt Networks
    S Parkavi, MP Ramkumar, GSR Emil Selvan, S Abiramikayathiri
    2025 IEEE 17th International Conference on Computational Intelligence and … , 2026
    2026
  • Adaptive Scheduled OFDMA with Micro-Windows Airtime Slicing (ASOAS) for Congestion Control and QoS Enhancement in Wi-Fi 6 Networks
    A Sowmia, GSRE Selvan, MP Ramkumar
    2025 5th International Conference on Mobile Networks and Wireless … , 2026
    2026
  • Federated Learning for Sustainable Energy Efficiency: A Privacy-Preserving Artificial Intelligence Approach with Attention Mechanisms
    R Chinnasamy, M Subramanian, N Sengupta, MP Ramkumar
    Integrating Big Data and IoT for Enhanced Decision-Making Systems in … , 2026
    2026
    Citations: 1
  • Reference-Guided Generative Adversarial Network for Image Defogging
    KZ Alsafa, GSRE Selvan, MP Ramkumar
    2025 Innovations in Power and Advanced Computing Technologies (i-PACT), 1-5 , 2025
    2025
  • A Hybrid Deep Learning Model with Isolated Thresholding for Intrusion Detection in Wireless Sensor Networks
    ES GSR, MP Ramkumar
    2025 Innovations in Power and Advanced Computing Technologies (i-PACT), 1-5 , 2025
    2025
  • Mitigation of Distributed Denial of Service Attack in a Software Defined Network using Flow Entry Based Open Flow Methodology
    K Bavani, MP Ramkumar, GSRE Selvan, M Mahalakshmi
    Intelligent Computing Systems and Applications. ICICSA 2023 1307, 391-406 , 2025
    2025
  • Data Balancing in Darknet Traffic Classification Using Deep Learning
    M Mahalakshmi, P Vijay Kumar, S Navin Kumar, S Meenakshi Sundaram, ...
    Intelligent Computing Systems and Applications: Select Proceedings of the … , 2025
    2025
  • Trust Based Federated Learning for Privacy-preserving in Connected Smart Communities
    S Difrina, MP Ramkumar, GSRE Selvan
    2025 Second International Conference on Cognitive Robotics and Intelligent … , 2025
    2025
    Citations: 3
  • IoMT Intrusion Detection System: A CNN-LSTM Hybrid with Adaptive Learning
    M Nivedhidha, MP Ramkumar, M Dharani, GSR Emil Selvan
    11th International Conference on Communication and Signal Processing (ICCSP … , 2025
    2025
    Citations: 4
  • An Adaptive Deep Learning-based ARP Spoofing Detection Framework with Hybrid Thresholding
    M Dharani, M Nivedhidha, MP Ramkumar, GSR Emil Selvan
    11th International Conference on Communication and Signal Processing (ICCSP … , 2025
    2025
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Intrusion detection in big data using hybrid feature fusion and optimization enabled deep learning based on spark architecture
    MP Ramkumar, PVB Reddy, JT Thirukrishna, C Vidyadhari
    Computers & Security 116, 102668 , 2022
    2022
    Citations: 43
  • Intrusion detection using optimized ensemble classification in fog computing paradigm
    MP Ramkumar, T Daniya, PM Paul, S Rajakumar
    Knowledge-Based Systems 252, 109364 , 2022
    2022
    Citations: 38
  • Text Summarization Using Text Frequency Ranking Sentence Prediction
    SM Meena, MP Ramkumar, RE Asmitha, GSR Emil Selvan
    2020 4th International Conference on Computer, Communication and Signal … , 2021
    2021
    Citations: 37
  • Deep maxout network for lung cancer detection using optimization algorithm in smart Internet of Things
    MP Ramkumar, PD Mano Paul, B Maram, JP Ananth
    Concurrency and Computation: Practice and Experience 34 (25), e7264 , 2022
    2022
    Citations: 29
  • Statistical Approach Based Detection of Distributed Denial of Service Attack in a Software Defined Network
    K Bavani, MP Ramkumar, ES GSR
    2020 6th International Conference on Advanced Computing and Communication … , 2020
    2020
    Citations: 27
  • Autonomous navigation system based on a dynamic access control architecture for the internet of vehicles
    MP Ramkumar, S Ponnan, S Shelly, MZ Hussain, M Ashraf, A Haldorai
    Computers and Electrical Engineering 101 (108037) , 2022
    2022
    Citations: 20
  • SMOTE Variants for Data Balancing in Intrusion Detection System Using Machine Learning
    E SSA Banu, B Gopika, EE Rajan, MP Ramkumar, M Mahalakshmi, ...
    Machine Learning and Computational Intelligence Techniques for Data … , 2023
    2023
    Citations: 16
  • SCADA Intrusion Detection System using Cost Sensitive Machine Learning and SMOTE-SVM
    M Mahalakshmi, MP Ramkumar, GSR Emil Selvan
    4th International Conference on Advances in Computing, Communication Control … , 2023
    2023
    Citations: 16
  • Diagnosing Diabetes using Machine Learning-based Predictive Models
    D Kaviyaadharshani, M Nivedhidha, J Lece Elizabeth Rani, ...
    Procedia Computer Science 233 (PROCS46832), 288-294 , 2024
    2024
    Citations: 12
  • Anomaly-based Intrusion Detection System for ICS
    SS Prasanna, GSR Emil Selvan, MP Ramkumar
    2023 14th International Conference on Computing Communication and Networking … , 2023
    2023
    Citations: 12
  • CopulaGAN Boosted Random Forest Based Network Intrusion Detection System for Hospital Network Infrastructure
    V Harshini Sivakami, MP Ramkumar, GSR Emil Selvan
    2023 14th International Conference on Computing Communication and Networking … , 2023
    2023
    Citations: 11
  • Access time Optimization in Data replication
    V Srijha, MP Ramkumar
    2018 2nd International Conference on Trends in Electronics and Informatics … , 2018
    2018
    Citations: 10
  • ADTBO: Aquila driving training-based optimization with deep learning for skin cancer detection
    V Prasad, ES GSR, R MP
    The Imaging Science Journal 72 (7), 809-827 , 2024
    2024
    Citations: 9
  • Interest Forwarding Strategies in Vehicular Named Data Networks
    G Manisha, SGSR Emil, MP Ramkumar
    2019 International Conference on Computation of Power, Energy, Information … , 2020
    2020
    Citations: 9
  • Single disk recovery and load balancing using parity declustering
    MP Ramkumar, B Narayanan, GSR Selvan, M Ragapriya
    Journal of Computational and Theoretical Nanoscience 14 (1), 545-550 , 2017
    2017
    Citations: 9
  • Recovery of Disk Failure in RAID-5 Using Disk Replacement Algorithm
    MP Ramkumar, N Balaji, G Rajeswari
    International Journal of Innovative Research in Science, Engineering and … , 2014
    2014
    Citations: 9
  • RAID-6 Code Variants for Recovery of a Failed Disk
    MP Ramkumar, N Balaji, GSRE Selvan, RJ Rohini
    Soft Computing in Data Analytics, 237-245 , 2019
    2019
    Citations: 8
  • Stripe and Disk level Data Redistribution during Scaling in Disk Arrays using RAID5
    MP Ramkumar, N Balaji, V Sri S
    PSG-ACM National Conference on Intelligent Computing 1 (74), 469-474 , 2013
    2013
    Citations: 8
  • Contextual Internet of Things Intrusion Detection: A Sliding Window Convolutional Neural Network–Gated Recurrent Unit Model Enhanced by Graph Neural Networks
    R Chinnasamy, M Subramanian, N Sengupta, MP Ramkumar
    Cureus Journal of Computer Science 2 (5) , 2025
    2025
    Citations: 7
  • Detection of ARP Spoofing with Optimized False Alarm Using Deep Learning Based Absolute Thresholding
    M Dharani, M Nivedhidha, A Sangeetha, V Saravanan, MP Ramkumar, ...
    2024 4th International Conference on Sustainable Expert Systems (ICSES … , 2024
    2024
    Citations: 7