Sulakshan Vajipayajula - researchr alias

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Viewing Publication 1 - 5 from 5

2023

An early malware threat detection model using Conditional Tabular Generative Adversarial NetworkV. Amrith, Darshan S, Suriya K. S, Sulakshan Vajipayajula, Kartik Srinivasan, Senthil Kumar Thangavel, T. Gireesh Kumar. icccnt 2023: 1-8 [doi]

Obfuscated Malware detection using Machine Learning modelsKarthik Manikandan Balasubramanian, Shri Venkatakrishnan Vasudevan, Senthil Kumar Thangavel, Gireesh Kumar T, Kartik Srinivasan, Anjali Tibrewal, Sulakshan Vajipayajula. icccnt 2023: 1-8 [doi]

Comparative Analysis of Deep Learning and Machine Learning models for Network Intrusion DetectionDharaneish V. C, Nithin Kumar S, Hari Varsha V, Senthil Kumar T, Gireesh Kumar T, Sulakshan Vajipayajula. icccnt 2023: 1-13 [doi]

Early Detection of DDoS Attacks in SDN using Machine Learning TechniquesParvathi Sanjana Pericherla, Senthil Kumar Thangavel, Kartik Srinivasan, Anjali Tibrewal, Sulakshan Vajipayajula. icccnt 2023: 1-7 [doi]

Detection and Prevention of Advanced Persistent Threat (APT) Activities in Heterogeneous Networks using SIEM and Deep LearningV. S. Tharunika, Shridhar T, K. Veeresh, Senthil Kumar Thangavel, Karthik Srinivasan, Sulakshan Vajipayajula, Anjali Tibrewal. icccnt 2023: 1-8 [doi]

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