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  1. Proceedings of the 2007 ACM workshop on Quality of protection (QoP '07)
  2. Defining categories to select representative attack test-cases
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Effect of static analysis tools on software security: preliminary investigation
An algorithm for the appraisal of assurance indicators for complex business processes
Implementing and testing dynamic timeout adjustment as a dos counter-measure
AMBRA: automated model-based risk analysis
Model-based assurance of security controls
Measuring up: how to keep security metrics useful and realistic
Improving vulnerability discovery models
Towards a taxonomy for information security metrics
Defining categories to select representative attack test-cases
Toward measuring network security using attack graphs
A technique for self-certifying tamper resistant software
Quantitative software security risk assessment model
Program obfuscation: a quantitative approach

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Proceeding

Defining categories to select representative attack test-cases

Content Provider ACM Digital Library
Author Deswarte, Yves GADELRAB, Mohammed S. El Kalam, Anas Abou
Abstract To ameliorate the quality of protection provided by intrusion detection systems (IDS) we strongly need more effective evaluation and testing procedures. Evaluating an IDS against all known and unknown attacks is probably impossible. Nevertheless, a sensible selection of representative attacks is necessary to obtain an unbiased evaluation of such systems. To overcome the problem of an unmanageably large set of possible inputs, software testers usually divide the data input domain into categories (or equivalence classes), and select representative instances from each category as test cases. We believe that the same principle could be applied to IDS testing if we have a reasonable classification. In this paper we make a thorough analysis of existing attack classifications in order to determine whether they could be helpful in selecting attack test cases. Then, we construct a new scheme to classify attacks relying on those attributes that appear to be the best classification criteria.
Starting Page 40
Ending Page 42
Page Count 3
File Format PDF
ISBN 9781595938855
DOI 10.1145/1314257.1314270
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-10-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Evaluation Test Classification Attack Intrusion detection systems
Content Type Text
Resource Type Article
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