Publication Type : Journal Article
Url : http://www.ijcse.com/docs/INDJCSE17-08-05-032.pdf
Campus : Coimbatore
School : School of Physical Sciences
Department : Mathematics
Year : 2017
Abstract : Securing network system from several new attacks is a challenge in recent years. Hence intrusion detection is becoming one of the key security components in network security. Several soft computing approaches are applied for applying intrusion detection in recent years, Genetic Algorithm is a powerful, robust optimization soft computing approach which is suitable for intrusion problem. The success of Genetic algorithm process depends on Fitness function which is used in genetic algorithm. This paper suggests various existing fitness functions. The paper also proposes parameters for deriving new fitness function.
Cite this Research Publication : Gnanaprasanambikai.L , Dr. Nagarajan Munnusamy “Parameters for Deriving Fitness Function of Genetic Algorithm in Intrusion Detection” in the “Indian Journal of Computer Science and Engineering”, PRINT ISSN: 2231-3850, Vol. No.5, 2017.