The Leading eBooks Store Online 4,272,009 members ⚫ 1,419,367 ebooks

New to eBooks.com?

Learn more

Intrusion Detection and Correlation

Challenges and Solutions

Intrusion Detection and Correlation by Christopher Kruegel
Buy this eBook
US$ 149.00
(If any tax is payable it will be calculated and shown at checkout.)

Intrusion Detection and Correlation: Challenges and Solutions presents intrusion detection systems (IDSs) and addresses the problem of managing and correlating the alerts produced. This volume discusses the role of intrusion detection in the realm of network security with comparisons to traditional methods such as firewalls and cryptography.

The Internet is omnipresent and companies have increasingly put critical resources online. This has given rise to the activities of cyber criminals. Virtually all organizations face increasing threats to their networks and the services they provide. Intrusion detection systems (IDSs) take increased pounding for failing to meet the expectations researchers and IDS vendors continually raise. Promises that IDSs are capable of reliably identifying malicious activity in large networks were premature and never tuned into reality.

While virus scanners and firewalls have visible benefits and remain virtually unnoticed during normal operations, the situation is different with intrusion detection sensors. State-of-the-art IDSs produce hundreds or even thousands of alerts every day. Unfortunately, almost all of these alerts are false positives, that is, they are not related to security-relevant incidents.

Intrusion Detection and Correlation: Challenges and Solutions analyzes the challenges in interpreting and combining (i.e., correlating) alerts produced by these systems. In addition, existing academic and commercial systems are classified; their advantage and shortcomings are presented, especially in the case of deployment in large, real-world sites.

Springer US; December 2005
133 pages; ISBN 9780387233994
Read online, or download in secure PDF format
Title: Intrusion Detection and Correlation
Author: Christopher Kruegel; Fredrik Valeur; Giovanni Vigna
 
  • News
  • Contents
No entry found