An early malware threat detection model using Conditional Tabular Generative Adversarial Network. - V. Amrith; Darshan S; Suriya K. S; Sulakshan Vajipayajula; Kartik Srinivasan; Senthil Kumar Thangavel; T. Gireesh Kumar (ICCCNT, 2023)

Obfuscated Malware detection using Machine Learning models. - Karthik Manikandan Balasubramanian; Shri Venkatakrishnan Vasudevan; Senthil Kumar Thangavel; Gireesh Kumar T; Kartik Srinivasan; Anjali Tibrewal; Sulakshan Vajipayajula (ICCCNT, 2023)

Comparative Analysis of Deep Learning and Machine Learning models for Network Intrusion Detection. - Dharaneish V. C; Nithin Kumar S; Hari Varsha V; Senthil Kumar T; Gireesh Kumar T; Sulakshan Vajipayajula (ICCCNT, 2023)

Early Detection of DDoS Attacks in SDN using Machine Learning Techniques. - Parvathi Sanjana Pericherla; Senthil Kumar Thangavel; Kartik Srinivasan; Anjali Tibrewal; Sulakshan Vajipayajula (ICCCNT, 2023)

Detection and Prevention of Advanced Persistent Threat (APT) Activities in Heterogeneous Networks using SIEM and Deep Learning. - V. S. Tharunika; Shridhar T; K. Veeresh; Senthil Kumar Thangavel; Karthik Srinivasan; Sulakshan Vajipayajula; Anjali Tibrewal (ICCCNT, 2023)

Detection of Malware Utilizing Neural Networks and Machine Learning Methods. - Velpula Nithin Krishna; T. Senthil Kumar; T. Gireesh Kumar; Anjali Tibrewal; Kartik Srinivasan; Sulakshan Vajipayajula (ICCCNT, 2024)

Two-Stage Deep Learning Framework For NIDS. - Vijey Shrivathsan Vasudevan; Varahabhatla Sriharsha Chayanulu; Senthil Kumar Thangavel; Shri Venkatakrishnan Vasudevan; Sulakshan Vajipayajula (ICCCNT, 2024)