A Review on Data Generation for Digital Forensic Investigation using Data Mining

Digital forensic is part of forensic science that unconditionally covers cyber crimes. In a cyber crime digital forensic evidence examination requires a special process and techniques in examination of cyber crime in crime scene and examination of evidence are accepted in law enforcement. Cyber crime involves log data, transactional data is occurs which tends to plenty of data for storage and analyze them. The network forensic traces involve Intrusion Detection System and firewall logs, logs generated by network services and applications, packet captures by sniffers. In network lots of data is generated in every event of action, so it is difficult for forensic investigators to find out clue and analyzing those data. In this paper general methodology is discussed for network data forensic analysis and also the survey of various network forensic analysis tools and approach in use to capturing data from different resources.