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Learning Network Forensics

You're reading from   Learning Network Forensics Identify and safeguard your network against both internal and external threats, hackers, and malware attacks

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781782174905
Length 274 pages
Edition 1st Edition
Concepts
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Author (1):
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 Datt Datt
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Datt
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Toc

Table of Contents (17) Chapters Close

Learning Network Forensics
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Becoming Network 007s FREE CHAPTER 2. Laying Hands on the Evidence 3. Capturing & Analyzing Data Packets 4. Going Wireless 5. Tracking an Intruder on the Network 6. Connecting the Dots – Event Logs 7. Proxies, Firewalls, and Routers 8. Smuggling Forbidden Protocols – Network Tunneling 9. Investigating Malware – Cyber Weapons of the Internet 10. Closing the Deal – Solving the Case Index

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...

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