Digital Forensics: Analyze and Monitor Network Traffic Using Sniffer (Application Software)

Abstract

Digital forensic is the process of interpreting and uncovering electronic data. The goal of process is to preserve any evidence in its most original form while applying performing a structured investigation by collecting, identifying and validating the digital information for the purpose of reconstructing past events. This dissertation will discuss the need for network forensics to be practiced in legal and an effective way. In this study also confer types of digital forensics and also prevention ideas from online fraud, social networking crime etc. IDS stand for intrusion detection system is a technique by using of we can monitor our network traffic and also take control over suspicious activity and alter the administrator or the network. In this dissertation I also try to define how computer may communicate with each other as well as how they share resources and using same internet. This paper defined types of intrusion detection system and did practical implementation on packet transmission in order to sniff bad data packets and take control over transmission between computers which share resources. The full implementation of the sniffer application software that captures network data as well as provides sufficient means for the decision making process of an administrator. The aim of this application is to rewrite C# language sniffer into .Net, and also develop an application that consumes little memory on the hard disk.

Authors and Affiliations

Neeraj . , Sonal Beniwal

Keywords

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  • EP ID EP22593
  • DOI -
  • Views 280
  • Downloads 4

How To Cite

Neeraj . , Sonal Beniwal (2016). Digital Forensics: Analyze and Monitor Network Traffic Using Sniffer (Application Software). International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(9), -. https://europub.co.uk/articles/-A-22593