关注
Manokaran J
Manokaran J
Research Scholar/SRMIST
在 srmist.edu.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
Improved credit card churn prediction based on rough clustering and supervised learning techniques
R Rajamohamed, J Manokaran
Cluster Computing 21 (1), 65-77, 2018
722018
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
112023
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
82022
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
62023
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
52022
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
22023
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
12024
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
系统目前无法执行此操作,请稍后再试。
文章 1–8