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
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Tapping into network traffic


As a network 007, our objective of gathering evidence can only be met if we dive into the data packets that flow across the network. To do this, we need to enhance our understanding of networks and the technology behind hubs and switches on the network.

In early networks, computers connected to each other via co-axial cables, followed by a switchover to the star topology and the use of Ethernet hubs. The following diagram shows a basic co-axial network:

The bus topology gave way to the star topology, as depicted in the following diagram:

In such a case, all the network traffic is broadcast to each and every node on the network and it is expected that the correct node will collect the traffic that is meant for it. In such a situation, if any network interface card (NIC) is in the promiscuous mode, it is able to capture any traffic that is meant for other nodes on the network. Software network sniffing tools, such as Wireshark, will automatically put the network...