A Systematic Review – Intrusion Detection Algorithms Optimisation for Network Forensic Analysis and Investigation

Abstract

As the digital world is growing widespread crime in the cyberspace is also increasing. Knowledge sharing and utilization of services attracts to use the digital devices, but the concern here is malicious usage of the system. If the crime takes place over the network how to collect it, analyze it and investigate based on the evidences. So, the role of forensic and incident response is crucial here. Digital forensics is categorized in Disk, Live, Network and Mobile Forensics. Anomaly or attack over the network comes under network forensic branch. In this paper extensive literature review is performed to compare the latest intrusion detection systems and based on the learning's a system is proposed which covers the peer to peer architecture system and utilization of web robots to trace the attack and log it in a form which will be a useful input for forensic investigation and analysis work.