A Systematic Analysis for Botnet Detection using Genetic Algorithm

Abstract

Internet faces different types of threats from the attackers using malicious software (malwares) such as viruses, worms and botnets. Botnets are considered to be among as one of the biggest threats in the cyber world and rapidly evolving day by day. It has become as one of the most dangerous malicious malware due to the difficulty to detect the botnet. This research paper presents a systematic analysis on how botnet works and how it is being detected and how genetic algorithm can be applied in detecting botnets. Furthermore, it also discusses the future challenges and the ongoing research techniques to detect botnets.