Intrusion Detection and Correlation: Challenges and Solutions / Edition 1

by Christopher Kruegel, Fredrik Valeur, Giovanni Vigna

Overview

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.

Product Details

ISBN-13:	9780387233987
Publisher:	Springer US
Publication date:	11/12/2004
Series:	Advances in Information Security , #14
Edition description:	2005
Pages:	118
Product dimensions:	6.14(w) x 9.25(h) x 0.01(d)

Table of Contents

Computer Security and Intrusion Detection.- Alert Correlation.- Alert Collection.- Alert Aggregation and Verification.- High-Level Alert Structures.- Large-Scale Correlation.- Evaluation.- Open Issues.- Conclusions.