A New Approach for Evidence Gathering Using Data Mining Techniques

Authors: Anjali Kadam, Shalvi Jain, Ruchita Mane, Sampada Jain, Sakshi Bhagat

Country: India

Full-text Research PDF File:   View   |   Download

Abstract: Digital forensics has plenty of applications. Digital evidence in the field of forensic investigation is has become very important. There are many issues in dealing with network evidence. As the network is volatile in nature it becomes difficult to gather network evidence. Sometimes, such an information may change with the time, may be located on a server which needs authority to get access or far away from the crime scene. In this paper, An Evidence Gathering methodology is presented to collect network evidence. Precisely, the online services like web pages, chats, photos or videos would be a source for collecting information. This method is suitable for both experts and non-experts as it takes the user through the whole process of obtaining pieces of evidence. During this process, the information received from the remote source is automatically gathered. This information consists of network packets and any information generated by the user. Trusted-Third-Party works as a digital notary to verify both obtained evidence and the acquisition process.

Keywords: Digital Forensics, Network Forensics, Live Network Evidence(LNE), Big Data Forensics, Digital Investigations.

Paper Id: 401

Published On: 2018-12-17

Published In: Volume 6, Issue 6, November-December 2018

Cite This: A New Approach for Evidence Gathering Using Data Mining Techniques - Anjali Kadam, Shalvi Jain, Ruchita Mane, Sampada Jain, Sakshi Bhagat - IJIRMPS Volume 6, Issue 6, November-December 2018.

Share this