Improved credit card churn prediction based on rough clustering and supervised learning techniques R Rajamohamed, J Manokaran Cluster Computing 21 (1), 65-77, 2018 | 72 | 2018 |
GIWRF-SMOTE: Gini impurity-based weighted random forest with SMOTE for effective malware attack and anomaly detection in IoT-Edge J Manokaran, G Vairavel Smart Science 11 (2), 276-292, 2023 | 11 | 2023 |
Smart anomaly detection using data-driven techniques in iot edge: a survey J Manokaran, G Vairavel Proceedings of Third International Conference on Communication, Computing …, 2022 | 8 | 2022 |
IGWO-SoE: Improved grey wolf optimization based stack of ensemble learning algorithm for anomaly detection in internet of things edge computing J Manokaran, G Vairavel IEEE Access, 2023 | 6 | 2023 |
An empirical comparison of machine learning algorithms for attack detection in internet of things edge J Manokaran, G Vairavel ECS Transactions 107 (1), 2403, 2022 | 5 | 2022 |
A Novel Set Theory Rule based Hybrid Feature Selection Techniques for Efficient Anomaly Detection System in IoT Edge J Manokaran, G Vairavel, J Vijaya 2023 International Conference on Quantum Technologies, Communications …, 2023 | 2 | 2023 |
An Efficient Anomaly Detection System in IoT Edge using Chi Square-Improved Particle Swarm Optimization Feature Selection with Ensemble classifiers J Manokaran, V Gurusamy, O Khalaf, S Algburi, H Hamam International Journal of Computing and Digital Systems 16 (1), 1-14, 2024 | 1 | 2024 |
DL-ADS: Improved Grey Wolf Optimization Enabled AE-LSTM Technique for Efficient Network Anomaly Detection in Internet of Thing Edge computing J Manokaran, G Vairavel IEEE Access, 2024 | | 2024 |