Certificateless linkable ring signature-based blockchains for securing cognitive radio networks Abitha Kumari Duraisamy, Raja Guru Ramaraj, Mathankumar Manoharan, Manjunathan Alagarsamy Concurrency and Computation Practice and Experience, 2022 SummaryRapid advancement in industrial applications of Internet of Things (IoT) has dramatically increased the number of Internet connected devices resulting in big challenges of scalability, adaptability, connectivity, and accessibility. Cognitive radio is efficient in handling spectrum allocation problem by facilitating the allocation of unlicensed spectrum dynamically to the IoT applications. However, cognitive radio network (CRN) capability of spectrum sensing is highly vulnerable to diversified number of security attacks. Malicious user disturbs the spectrum sensing potential and minimizes its accuracy by launching attacks during the detection of primary signal. In this article, certificateless linkable ring signature‐based blockchains (CLRSB) is proposed for securing CRNs by achieving reliable discrimination between trustworthy users through cryptographic keys. It initially transformed the complete set of users such as PUs and SUs into the structure of blocks representing the smart contracts‐based traditional public ledger blockchain that gets integrated to form a decentralized network for attaining improvement in efficient spectrum sensing. It adopted a mayfly optimization algorithm (MFOA)‐improved CNN (MFOA‐ICNN)‐based spectrum sensing method for preventing the interference between PUs and SUs during spectrum access. It also used MFOA for optimizing the features with balanced trade‐off between exploration and exploitation to identify the remarkable features that attributes toward efficient spectrum sensing. It specifically used CLRS for protecting information about the transaction initiator for the objective of protecting blockchain privacy. Simulation experiments of this CLRSB confirmed better response time and minimized frame loss on an average by 18.13% and 17.81%, better than the baseline schemes used for investigation.
Autonomous unmanned aerial vehicle for post-disaster management with cognitive radio communication Raja Guru R., Naresh Kumar P. International Journal of Ambient Computing and Intelligence, 2021 Unmanned aerial vehicles (UAV) play a significant role in finding victims affected in the post-disaster zone, where a man cannot risk his life under a critical condition of the disaster environment. The proposed design incorporates autonomous vision-based navigation through the disaster environment based on general graph theory with dynamic changes on the length between two or multiple nodes, where a node is a pathway. Camera fixed on it continuously captures the surrounding footage, processing it frame by frame on-site using image processing technique based on a SOC. Identifies victims in the zone and the pathways available for traversal. UAV uses an ultrasonic rangefinder to avoid collision with obstacles. The system alerts the rescue team if any victim detected and transmits the frames using CRN to the off-site console. UAV learns navigation policy that achieves high accuracy in real-time environments; communication using CRN is uninterrupted and useful during such emergencies.
COMPUTER VISION BASED AUTONOMOUS UNMANNED AERIAL VEHICLE FOR HUMAN AND OBJECT DETECTION IN POST-DISASTER ZONES Journal of Environmental Protection and Ecology, 2021
Detection on credit card scam using self organization approach with of support virtual machine model International Journal of Innovative Technology and Exploring Engineering, 2019
Design and analysis of a two seater electric car International Journal of Mechanical Engineering and Technology, 2018
RECENT SCHOLAR PUBLICATIONS
A Hybrid Vision Transformer-CNN Framework with Temporal Modelling and Federated Learning for Robust MIMO Signal Detection in 5G/6G Systems RR Guru, T Vinothini, K Menaka, B Premkumar, M Lavanya 2026 3rd International Conference on Research Methodologies in Knowledge … , 2026 2026
TB-Insight: A Pathology-Aware Temporal AI Framework for Accurate Tuberculosis Identification and Continuous Disease Monitoring R Prabhu, RR Guru, B Mohan, M Lavanya, B Premkumar, TA Devi, ... 2026 Third International Conference on Networking and Communications (ICNWC … , 2026 2026
BlinkSpeak: An Advanced Context-Aware Deep Learning Paradigm for Eye-Blink-Based Assistive Communication on Edge Computing Devices P Meenadharshini, RR Guru, B Mohan, B Premkumar, M Lavanya, ... 2026 International Conference on Future and Advanced Computing Technologies … , 2026 2026
Cognitive Audio Fault Detection in Railway Switching Systems Using Spectrogram-Based Transfer Learning M Ramana Murugan, A Antony Nithin, M Karuppasamy, S Sri Aakarshan, ... IEEE International Conference on Cognitive Mobility, 165-172 , 2025 2025
Fed-AI: Explainable Federated Learning for Sustainable Crop Forecasting and Agro-Logistics AK Mahesh Kannan, RG Ramaraj, JSL Mahesh Kannan IEEE International Conference on Cognitive Mobility, 159-164 , 2025 2025
A Futuristic Review on Sustainable Energy Grid M Mathankumar, WR Babu 2023 2nd International Conference on Advancements in Electrical, Electronics … , 2023 2023 Citations: 1
Optimized Channel Decision and Secure Data Transmission for Health Monitoring Using Wireless Body Area Network through Cognitive Controller R Raja Guru, K Vimala Devi, P Marichamy Wireless Personal Communications 128 (2), 1325-1348 , 2023 2023
Certificateless linkable ring signature‐based blockchains for securing cognitive radio networks AK Duraisamy, RG Ramaraj, M Manoharan, M Alagarsamy Concurrency and Computation: Practice and Experience 34 (24), e7235 , 2022 2022 Citations: 6
AI and ML powered IoT applications for energy management in electric vehicles M Mathankumar, B Gunapriya, RR Guru, A Singaravelan, ... Wireless Personal Communications 126 (2), 1223-1239 , 2022 2022 Citations: 19
Software Architecture for Autonomous Trouble Code Diagnostics in Smart Vehicles R Rajaguru, M Mathankumar, T Viswanathan, M Manimaran Software Engineering for Automotive Systems, 73-90 , 2022 2022 Citations: 1
Spectrum selection and decision using neural and fuzzy optimization approaches R Raja Guru, K Vimala Devi, P Marichamy Wireless Networks 28 (4), 1731-1755 , 2022 2022 Citations: 3
A Review on the Therapeutic Management of COVID-19 Associated with Thrombotic Events and Coagulopathies R Vigneswaran, SRS Kumar, T Venkatachalam, P Kalaiselvi, ... Journal of Pharmaceutical Research International 34 (27B), 98-105 , 2022 2022
Computer Vision Based Autonomous Unmanned Aerial Vehicle for Human and Object Detection in Post-Disaster Zones N PRAKASH, RR GURU, M MATHANKUMAR Journal of Environmental Protection and Ecology 22 (06), 2583 -2592 , 2021 2021 Citations: 7
Optimized Channel Selection Scheme Using Cognitive Radio Controller for Health Monitoring and Post-Disaster Management Applications KV R. Rajaguru Cognitive Computing Using Green Technologies: Modeling Techniques and … , 2021 2021
State-of-the-Art Energy Grid with Cognitive Behavior and Blockchain Techniques R Rajaguru, SP Kumar, RK Prasanth Cognitive Computing Using Green Technologies: Modeling Techniques and … , 2021 2021
An efficient dynamic key generation architecture for distributed wireless networks M Mathankumar, S Karthikeyani, SG Kumar, N Mahesh, NJ Savitha, ... 2021 third international conference on intelligent communication … , 2021 2021 Citations: 5
An intelligent framework for traffic management system using narrow band-IoT R Rajaguru, M Mathankumar, A Balakumar, JR Dinesh Kumar, AA Stonier IOP Conference Series: Materials Science and Engineering 1055 (1), 012127 , 2021 2021 Citations: 5
Autonomous Unmanned Aerial Vehicle for Post-Disaster Management With Cognitive Radio Communication RRGPN kumar International Journal of Ambient Computing and Intelligence (IJACI) 12 (1 … , 2021 2021 Citations: 3
A hybrid spectrum sensing approach to select suitable spectrum band for cognitive users R Raja Guru, KV Devi, P Marichamy Computer Networks 180, 107387 , 2020 2020 Citations: 36
Combinatorial optimization technique for improving performance of PV modules under partial shading conditions T Viswanathan, M Mathankumar, R Raja Guru, C Sasikumar Materials Today: Proceedings , 2020 2020 Citations: 4
MOST CITED SCHOLAR PUBLICATIONS
A hybrid spectrum sensing approach to select suitable spectrum band for cognitive users R Raja Guru, KV Devi, P Marichamy Computer Networks 180, 107387 , 2020 2020 Citations: 36
AI and ML powered IoT applications for energy management in electric vehicles M Mathankumar, B Gunapriya, RR Guru, A Singaravelan, ... Wireless Personal Communications 126 (2), 1223-1239 , 2022 2022 Citations: 19
Self-restrained energy grid with data analysis and blockchain techniques R Raja Guru, P Kumar Energy Sources, Part A: Recovery, Utilization, and Environmental Effects … , 2020 2020 Citations: 15
Computer Vision Based Autonomous Unmanned Aerial Vehicle for Human and Object Detection in Post-Disaster Zones N PRAKASH, RR GURU, M MATHANKUMAR Journal of Environmental Protection and Ecology 22 (06), 2583 -2592 , 2021 2021 Citations: 7
Certificateless linkable ring signature‐based blockchains for securing cognitive radio networks AK Duraisamy, RG Ramaraj, M Manoharan, M Alagarsamy Concurrency and Computation: Practice and Experience 34 (24), e7235 , 2022 2022 Citations: 6
An efficient dynamic key generation architecture for distributed wireless networks M Mathankumar, S Karthikeyani, SG Kumar, N Mahesh, NJ Savitha, ... 2021 third international conference on intelligent communication … , 2021 2021 Citations: 5
An intelligent framework for traffic management system using narrow band-IoT R Rajaguru, M Mathankumar, A Balakumar, JR Dinesh Kumar, AA Stonier IOP Conference Series: Materials Science and Engineering 1055 (1), 012127 , 2021 2021 Citations: 5
Combinatorial optimization technique for improving performance of PV modules under partial shading conditions T Viswanathan, M Mathankumar, R Raja Guru, C Sasikumar Materials Today: Proceedings , 2020 2020 Citations: 4
Performance Analysis of Radio Access Techniques in Self-Configured Next Generation Wireless Networks KV Raja Guru R Advances in Natural and Applied Sciences 10 (10), 232-241 , 2016 2016 Citations: 4
Spectrum selection and decision using neural and fuzzy optimization approaches R Raja Guru, K Vimala Devi, P Marichamy Wireless Networks 28 (4), 1731-1755 , 2022 2022 Citations: 3
Autonomous Unmanned Aerial Vehicle for Post-Disaster Management With Cognitive Radio Communication RRGPN kumar International Journal of Ambient Computing and Intelligence (IJACI) 12 (1 … , 2021 2021 Citations: 3
A Survey on Cognitive Engine M Prabhananthakumar, R Raja Guru, S Rathnamala Journal of Academia and Industrial Research (JAIR) 1 (2), 73-76 , 2012 2012 Citations: 2
A Futuristic Review on Sustainable Energy Grid M Mathankumar, WR Babu 2023 2nd International Conference on Advancements in Electrical, Electronics … , 2023 2023 Citations: 1
Software Architecture for Autonomous Trouble Code Diagnostics in Smart Vehicles R Rajaguru, M Mathankumar, T Viswanathan, M Manimaran Software Engineering for Automotive Systems, 73-90 , 2022 2022 Citations: 1
MAINS: Multi-Agent Intelligent Service Architecture for Cloud Computing TJ Devadas, S Subbulakshmi, R Raja Guru ICTACT Journal on Soft Computing 4 (3) , 2014 2014 Citations: 1
A Hybrid Vision Transformer-CNN Framework with Temporal Modelling and Federated Learning for Robust MIMO Signal Detection in 5G/6G Systems RR Guru, T Vinothini, K Menaka, B Premkumar, M Lavanya 2026 3rd International Conference on Research Methodologies in Knowledge … , 2026 2026
TB-Insight: A Pathology-Aware Temporal AI Framework for Accurate Tuberculosis Identification and Continuous Disease Monitoring R Prabhu, RR Guru, B Mohan, M Lavanya, B Premkumar, TA Devi, ... 2026 Third International Conference on Networking and Communications (ICNWC … , 2026 2026
BlinkSpeak: An Advanced Context-Aware Deep Learning Paradigm for Eye-Blink-Based Assistive Communication on Edge Computing Devices P Meenadharshini, RR Guru, B Mohan, B Premkumar, M Lavanya, ... 2026 International Conference on Future and Advanced Computing Technologies … , 2026 2026
Cognitive Audio Fault Detection in Railway Switching Systems Using Spectrogram-Based Transfer Learning M Ramana Murugan, A Antony Nithin, M Karuppasamy, S Sri Aakarshan, ... IEEE International Conference on Cognitive Mobility, 165-172 , 2025 2025
Fed-AI: Explainable Federated Learning for Sustainable Crop Forecasting and Agro-Logistics AK Mahesh Kannan, RG Ramaraj, JSL Mahesh Kannan IEEE International Conference on Cognitive Mobility, 159-164 , 2025 2025