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

Defining network forensics


What exactly is network forensics?

As per National Institute of Standards and Technology (NIST), Digital forensics, also known as computer and network forensics, has many definitions. Generally, it is considered the application of science to the identification, collection, examination, and analysis of data while preserving the integrity of the information and maintaining a strict chain of custody for the data.

Refer to http://csrc.nist.gov/publications/nistpubs/800-86/SP800-86.pdf for more information.

As per WhatIs.com, network forensics is the capture, recording, and analysis of network events in order to discover the source of security attacks or other problem incidents.

Broadly speaking, network forensics, in most people's perception, involves the CIA process. In this case, CIA stands for the following:

  • Capture (capture packets)

  • Identify (identify packets based on certain filtering criterion, such as date and time)

  • Analyze (both known and unknown packets to understand what's going on)

The following image illustrates this:

Broadly speaking, network forensics is the subset of digital forensics that deals with the investigation of events and activities related to digital networks. This involves monitoring and capturing network traffic and its related data from devices on the network with the objective of gathering evidence in a manner that is acceptable in the court of law.