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

Discovering the connection between logs and forensics


In the preceding section, we got a good understanding of what logs are like and the kind of data contained in them. I am sure that like any good investigator, we have a gut feeling that these can be pretty important. Let's work towards discovering exactly why this is so.

As we saw in the previous section, a log entry reflects an event that occurred in an organization's network. A group of log entries make a log file. Many such log files are directly related to the security, while others may have some entries specific to security-related matters. Security-related logs could be generated by anti-virus tools, firewalls, intrusion detection and prevention systems (IDPS), operating system, networking equipment and applications, and so on.

The key factors to understand is that logs are a human-independent record of system and user activity in a network. This makes them particularly unbiased and allows for court admissibility as evidence, provided...