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

Modes of detection

NIDS and NIPS use different methods to detect suspected intrusions. The two most common detection methods are pattern matching and anomaly detection.

Pattern matching

Intruder detection using pattern matching is also known as misuse detection or signature-based detection. Basically, this is used to detect known attacks by their patterns—this includes specific actions that happen as part of the attack or their "signatures".

This is similar to identifying criminals from the fingerprints they have left at the scene of a crime. However, to be able to accurately pinpoint the identity of the criminal who was present at the scene of the crime, we need to have his/her fingerprints available in our database. In the same fashion, we need to have the pattern or signature of possible attacks in our database before our IDS/IPS can detect such an event.

Hence, the effectiveness of an IDS that relies on pattern matching is completely dependent on the signature database. Therefore, in an...