Book Image

Learning Network Forensics

By : Samir Datt
Book Image

Learning Network Forensics

By: Samir Datt

Overview of this book

We live in a highly networked world. Every digital device—phone, tablet, or computer is connected to each other, in one way or another. In this new age of connected networks, there is network crime. Network forensics is the brave new frontier of digital investigation and information security professionals to extend their abilities to catch miscreants on the network. The book starts with an introduction to the world of network forensics and investigations. You will begin by getting an understanding of how to gather both physical and virtual evidence, intercepting and analyzing network data, wireless data packets, investigating intrusions, and so on. You will further explore the technology, tools, and investigating methods using malware forensics, network tunneling, and behaviors. By the end of the book, you will gain a complete understanding of how to successfully close a case.
Table of Contents (17 chapters)
Learning Network Forensics
About the Author
About the Reviewers

Case study – tracking down an insider

XYZ Corporation, a medium-sized Government contractor, found that it had begun to lose business to a tiny competitor that seemed to know exactly what the sales team at XYZ Corp was planning.

The senior management suspected that an insider was leaking information to the competitor.

A network forensic 007 was called in to investigate the problem.

A preliminary information-gathering exercise was initiated and a list of keywords was compiled to help in identifying packets that contained information of interest. A list of possible suspects, who had access to the confidential information, was also compiled.

The specific network segment relating to the department in question was put under network surveillance. Wireshark was deployed to capture all the network traffic. Additional storage was made available to store the .pcap files generated by Wireshark.

The collected .pcap files were analyzed using NetworkMiner.

The following screenshot depicts Wireshark capturing...