Title
A model-driven approach for experimental evaluation of intrusion detection systems
Abstract
AbstractBecause attacks are becoming more frequent and more complex, intrusion detection systems IDSes need significant improvements to be able to detect new attacks and variants of already known attacks. It is thus necessary to assess precisely their quality of detection, performance, and robustness in the environment where they will be deployed. In this paper, we present an evaluation approach designed to overcome most of the identified weaknesses in several IDS evaluation: the lack of a rigorous methodology, the use of non-representative test datasets, and the use of inappropriate metrics. In our approach, model-based evaluation is combined with experimental testing. Because testing an IDS against all possible attacks is practically impossible, we propose a classification of elementary attacks and a model of attack processes. Then, we developed the attack planning and injection tool that helps security administrators to plan and select the most relevant attack scenarios. Attack planning and injection tool is able to generate and carry out concrete and adaptable attacks on specifically identified computers. To demonstrate the validity of our approach, we experimented our tool in a case study environment to compare well-known IDSes. Copyright © 2013 John Wiley & Sons, Ltd.
Year
DOI
Venue
2014
10.1002/sec.911
Periodicals
Keywords
Field
DocType
IDS,security evaluation,security testing
Security testing,Experimental testing,Computer security,Computer science,Robustness (computer science),Intrusion detection system
Journal
Volume
Issue
ISSN
7
11
1939-0114
Citations 
PageRank 
References 
0
0.34
25
Authors
3
Name
Order
Citations
PageRank
Anas Abou El Kalam143340.81
Mohammed Gad El Rab200.34
Yves Deswarte31142156.24