Our Faculty

Year : 2024

Synergy of Human Language Processing and Artificial Intelligence

Cite this Research Publication : V. Vanitha, A. S. Antony Rai, D. Vinodhini, L. Gnanaprasanambikai, L. S. Kumar and S. Renukadevi, "Synergy of Human Language Processing and Artificial Intelligence," 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India, 2024, pp. 1-7, doi: 10.1109/AMATHE61652.2024.10582050.

Publisher : IEEE

Year : 2024

Linguistics of Sacred Semantics: Exploratory Data Analysis of Shri Bhagavad Gita

Cite this Research Publication : G. J, V. V, S. A. Raj A, V. D, G. L and A. M., "Linguistics of Sacred Semantics: Exploratory Data Analysis of Shri Bhagavad Gita," 2024 First International Conference for Women in Computing (InCoWoCo), Pune, India, 2024, pp. 1-5, doi: 10.1109/InCoWoCo64194.2024.10863733.

Publisher : IEEE

Year : 2017

Survey of Genetic Algorithm effectiveness in Intrusion Detection

Cite this Research Publication : L. Gnanaprasanambikai and N. Munusamy, "Survey of genetic algorithm effectiveness in intrusion detection," 2017 International Conference on Intelligent Computing and Control (I2C2), Coimbatore, India, 2017, pp. 1-5, doi: 10.1109/I2C2.2017.8321877.

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