Year : 2024
K-Means Clustering-Based Trust (KmeansT) Evaluation Mechanism for Detecting Blackhole Attacks in IoT Environment
Cite this Research Publication :
Shameer M. and Gnanaprasanambikai L., “K-Means Clustering-Based Trust (KmeansT) Evaluation Mechanism for Detecting Blackhole Attacks in IoT Environment, International Journal of Computing and Digital Systems, 2024
Year : 2023
A novel implementation of routing attack detection scheme by using fuzzy and feed-forward neural networks
Cite this Research Publication :
Ezhilarasi, M., Gnanaprasanambikai, L., Kousalya, A. et al. A novel implementation of routing attack detection scheme by using fuzzy and feed-forward neural networks. Soft Comput 27, 4157–4168 (2023). https://doi.org/10.1007/s00500-022-06915-1
Publisher : Springer Nature Link
Year : 2020
Comparison on Absolute Fitness function in Evolutionary Algorithms over Traffic and Content Anomaly Intrusion Detection
Cite this Research Publication :
L. Gnanaprasanambikai, Dr. Nagarajan Munusamy “Comparison on Absolute Fitness function in Evolutionary Algorithms over Traffic and Content Anomaly Intrusion Detection”, “International Journal of Advanced Science and Technology”, PRINT ISSN: 2005-4238, Vol.No.29, Issue 3, 2020.
Year : 2019
Genetic Algorithm Operations Implementation on Traffic Anomaly Intrusion Detection using NSL KDD Dataset
Cite this Research Publication :
Nagarajan Munusamy, L.Gnanaprasanambikai “Genetic Algorithm Operations Implementation on Traffic Anomaly Intrusion Detection using NSL KDD Dataset”, in SCOPUS Indexed Journal, “ International Journal of Innovative Technology and Exploring Engineering”, PRINT ISSN:2278-3075, Vol.No.8, Issue 8, 2019.
Year : 2019
Absolute Fitness function of Genetic Algorithm For Traffic Anomaly Intrusion Detection System
Cite this Research Publication :
L.Gnanaprasanambikai, Dr. Nagarajan Munusamy “ Absolute Fitness Function of Genetic Algorithm for Traffic Anomaly Intrusion Detection System”, in UGC approved Journal, “International Journal of Research in Electronics and Computer Engineering”, PRINT ISSN:2348-2281, Vol.No. 7, No.2, 2019.
Year : 2018
Data Preprocessing and Classification for Traffic Anomaly Intrusion Detection using NSLKDD Dataset
Cite this Research Publication :
L. Gnanaprasanambikai, Nagarajan Munusamy“Data Preprocessing and Classification for Traffic Anomaly Intrusion Detection using NSLKDD Dataset”, in Free and Open SCI and SCOPUS Indexed Journal, “Cybernetics and Information Technologies”, PRINT ISSN:1311-9702, Vol. No.3, 2018.
Year : 2017
Parameters for Deriving Fitness Function of Genetic Algorithm in Intrusion Detection
Cite this Research Publication :
Gnanaprasanambikai.L , Dr. Nagarajan Munnusamy “Parameters for Deriving Fitness Function of Genetic Algorithm in Intrusion Detection” in the “Indian Journal of Computer Science and Engineering”, PRINT ISSN: 2231-3850, Vol. No.5, 2017.
Year : 2016
Analysis and Generation of Fuzzy Rule For Anomaly Network Intrusion Detection
Cite this Research Publication : Dr.L.Gnanaprasanambikai “Analysis and Generation of Fuzzy Rule For Anomaly Network Intrusion Detection”, in the “International Journal of Multidisciplinary Research and Development”, PRINT ISSN:2349-5479, Vol. 3, Issue 2, 2016