Publication Type : Journal Article
Source : International Journal of Research in Electronics and Computer Engineering
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.