Fitness Function for Genetic Algorithm used in Intrusion Detection System
Firas Alabsi, Reyadh Naoum

Abstract
Computer network usage increased rapidly at the last decades, the intruders tried to satisfy their needs by many types of attack depending on the intruder objectives, this encourage the researchers to find more and more solutions to detect those attacks. Intrusion Detection System used to detect the attack. Genetic Algorithm used to support IDS. Fitness Function is helpful in chromosome evaluation which is a Genetic Algorithm part. The problem is to find a suitable Fitness Function for a chromosome evaluation to get a solution for Intrusion Detection. This paper suggests a new reasonable Fitness Function using Reward-Penalty technique to evaluate population chromosomes efficiently. This technique used to give reward to the good chromosome and to apply a penalty on the bad chromosome. This paper will show the Fitness Function, discuss it and compare it with another Fitness Function to check its validity.

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