A fuzzy logic based expert system as a network forensics

The field of digital forensic science emerged as a response to the growth of computer crimes. Digital forensics is the art of discovering and retrieving information about a crime in such a way to make a digital evidence admissible in court. Network forensics is digital forensic in networked environments. However, the amount of network traffic is huge and might crash the traffic capture system if left unattended. Not all the information captured or recorded can be useful for analysis or evidence. The more the network traffic, the harder the network analyzing. Therefore, we need an effective and automated analyzing system for network forensics. We propose a fuzzy logic based expert system for network forensics that can analyze computer crimes in networked environments and make digital evidences automatically. This system can provide an analyzed information for forensic experts and reduce the time and cost of forensic analysis.