Intelligent Progression for Anomaly Intrusion detection

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Marimuthu, A. and Shanmugam, A. (2008) Intelligent Progression for Anomaly Intrusion detection. In: 2008 6th International Symposium on Applied Machine Intelligence and Informatics (SAMI '08), Herlany.

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Abstract

Combination of K-Means Clustering (KMC) and Genetic Algorithm (GA) for network Intrusion Detection Systems (IDS). GA evolution process and parameter optimization discussed. Integrated KMC-GA improves rule generation for TCP/IP networks, enabling better detection of complex anomalous behaviors. © 2008 IEEE. © 2008 Elsevier B.V., All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science > Artificial Intelligence
Computer Science > Information Systems
Divisions: Pharmacy > Vinayaka Mission’s College of Pharmacy, Salem > Pharmacy
Pharmacy > Vinayaka Mission’s College of Pharmacy, Salem > Pharmaceutical Chemistry
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 24 Dec 2025 10:36
Last Modified: 24 Dec 2025 10:36
URI: https://ir.vmrfdu.edu.in/id/eprint/4408

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