A Generalized and Robust Nonlinear Approach based on Machine Learning for Intrusion Detection

A Generalized and Robust Nonlinear Approach based on Machine Learning for Intrusion Detection

Intrusion detection systems (IDS) play a critical role in ensuring the security and integrity of computer networks. There is a constant demand for the development of powerful, novel, and generalized methods for IDS that can accurately detect and classify intrusions. In this study, we aim to evaluate...

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Main Authors: Jakiur Rahman, Jaskaran Singh, Soumen Nayak, Biswajit Jena, Lopamudra Mohanty, Narpinder Singh, John R. Laird, Rajesh Singh, Deepak Garg, Narendra N. Khanna, Mostafa M. Fouda, Luca Saba, Jasjit S. Suri
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Applied Artificial Intelligence
Online Access:https://www.tandfonline.com/doi/10.1080/08839514.2024.2376983
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https://www.tandfonline.com/doi/10.1080/08839514.2024.2376983

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