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Absolute Fitness function of Genetic Algorithm For Traffic Anomaly Intrusion Detection System

Publication Type : Journal Article

Source : International Journal of Research in Electronics and Computer Engineering

Url : http://nebula.wsimg.com/bc9f35ec425e1efa4518ad16b8259c9d?AccessKeyId=DFB1BA3CED7E7997D5B1&disposition=0&alloworigin=1

Campus : Coimbatore

School : School of Physical Sciences

Department : Mathematics

Year : 2019

Abstract : Intrusion Detection System a imperative tool used in network security which detects normal and abnormal packets in the network. Genetic Algorithm is a evolutionary algorithm which exploits the tolerance of imprecision, partial truth, uncertainty and approximates to achieve robustness. Genetic Algorithm is applied to Intrusion Detection Problems of rule fitness. The base of Genetic Algorithm operations is fitness function. In this paper we propose a fitness function for Anomaly Intrusion Detection and reason for proposing by specifying the lacking of existing fitness function.

Cite this Research Publication : L.Gnanaprasanambikai, Dr. Nagarajan Munusamy “ Absolute Fitness Function of Genetic Algorithm for Traffic Anomaly Intrusion Detection System”, in UGC approved Journal, “International Journal of Research in Electronics and Computer Engineering”, PRINT ISSN:2348-2281, Vol.No. 7, No.2, 2019.

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