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Publication Type : Conference Paper
Publisher : IEEE
Source : Advances in Engineering, Science and Management (ICAESM), 2012 IEEE International Conference, p.494-498. Nagapattinam, Tamil Nadu (13 citations)
Url : https://ieeexplore.ieee.org/document/6215894
Campus : Amaravati
School : School of Computing
Year : 2012
Abstract : Network Intrusion Detection is the most happening field of the network security research. It is a new kind of defense technology of the network security, used as a countermeasure to preserve data integrity and system availability during an intrusion. An ideal IDS system should be capable of evolving itself to identify not only known attacks but also unknown attacks. Algorithms based on Genetic Engineering and Immune Systems are known to evolve and learn from small examples. In this paper it is proposed to investigate the efficacy of genetic search methods for feature selection and Immune system to classify threats and non threats.
Cite this Research Publication : R. Sridevi, Rajan Chattamvelli (2012), "Genetic algorithm and artificial immune systems: A combinational approach for network intrusion detection," Advances in Engineering, Science and Management (ICAESM), 2012 IEEE International Conference, p.494-498. Nagapattinam, Tamil Nadu (13 citations)