Sciweavers

Share
JCS
2002

Toward Cost-Sensitive Modeling for Intrusion Detection and Response

9 years 6 months ago
Toward Cost-Sensitive Modeling for Intrusion Detection and Response
Intrusion detection systems (IDSs) must maximize the realization of security goals while minimizing costs. In this paper, we study the problem of building cost-sensitive intrusion detection models. We examine the major cost factors associated with an IDS, which include development cost, operational cost, damage cost due to successful intrusions, and the cost of manual and automated response to intrusions. These cost factors can be qualified according to a defined attack taxonomy and site-specific security policies and priorities. We define cost models to formulate the total expected cost of an IDS, and present cost-sensitive machine learning techniques that can produce detection models that are optimized for user-defined cost metrics. Empirical experiments show that our cost-sensitive modeling and deployment techniques are effective in reducing the overall cost of intrusion detection.
Wenke Lee, Wei Fan, Matthew Miller, Salvatore J. S
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 2002
Where JCS
Authors Wenke Lee, Wei Fan, Matthew Miller, Salvatore J. Stolfo, Erez Zadok
Comments (0)
books