Network Intrusion Detection Systems Using Genetic Algorithm
sabbithi suresh kumar, T Rajendra Prasad · 2014
Intruder Detection system is so important implementations which considers all network information like temporal and spatial which make the system to build the rule for IDS. This helps for the administrator to detect complex anomalous behaviors of the system. This work is focused on the TCP/IP network protocols. Genetic Algorithm is used to generate dynamic IP for the network to avoid unauthorized data transfer and prevent from attack. The Intrusion Detection System can be viewed as a rule-based system (RBS) and Genetic Algorithm can be viewed as a tool to help generate knowledge for the RBS. This project shows how network connection information can be modeled as chromosomes and how the parameters in genetic algorithm can be defined in this respect.