An Enhanced IP Trace Back Mechanism by using Particle Swarm System

Abstract

Internet is the most powerful medium as on date, facilitating varied services to numerous users. It has also become the environment for cyber warfare where attacks of many types (financial, ideological, revenge) are being launched. �Network forensics is a sub-branch of digital forensics relating to the monitoring and analysis of computer network traffic for the purposes of information gathering, legal evidence, or intrusion detection.� Cloud Storage is a service where data is remotely maintained, managed, and backed up. The service is available to users over a network, which is usually the internet. It allows the user to store files online so that the user can access them from any location via the internet. The provider company makes them available to the user online by keeping the uploaded files on an external server. In this paper, a novel Digital Network Forensic Investigation Method is proposed. This paper will do changes in the analysis and investigation place of the network forensic. The investigation of the case will be based on the previous data collecting framework. The Spoofed IP address are classified by the previous framework and Enhanced IP trace back mechanism by Particle Swarm System is trace the real victim of the case in the network forensic.