ROLE OF MACHINE LEARNING TECHNIQUES IN DIGITAL FORENSIC INVESTIGATION OF BOTNET ATTACKS

Digital forensic is used to investigate digital crime. Cyber Attacks through botnets become the most dangerous attacks on the internet. Digital Forensic investigation of the Botnets attacks is challenging. Attackers are growing with the ability to arrange more complex attacks using Botnets. It is necessary to strengthen the digital forensic to deal with such attacks. Machine learning plays an important role in network forensics and detecting these kinds of botnet attacks in an efficient manner and in less time. Different network forensic techniques used machine learning algorithms. Machine learning algorithms are not only used to detect but also used to prevent Botnet attacks. survey of the different Botnet attacks and digital forensic investigation techniques to deal with the botnet attacks has been presented in this paper. there is a need for a standard framework for forensic analysis of Botnet detection to present the evidence in the court of law. Different network forensic techniques has also been discussed in the paper