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Automated Testing of IDS Rules
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (PriSec)ORCID iD: 0000-0001-9886-6651
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (PriSec)ORCID iD: 0000-0003-0778-4736
2015 (English)In: Software Testing, Verification and Validation Workshops (ICSTW), 2015 IEEE Eighth International Conference on, IEEE conference proceedings, 2015Conference paper, Published paper (Refereed)
Abstract [en]

As technology becomes ubiquitous, new vulnerabilities are being discovered at a rapid rate. Security experts continuously find ways to detect attempts to exploit those vulnerabilities. The outcome is an extremely large and complex rule set used by Intrusion Detection Systems (IDSs) to detect and prevent the vulnerabilities. The rule sets have become so large that it seems infeasible to verify their precision or identify overlapping rules. This work proposes a methodology consisting of a set of tools that will make rule management easier.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2015.
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-38996DOI: 10.1109/ICSTW.2015.7107461ISI: 000373338600057ISBN: 978-1-4799-1885-0 (print)OAI: oai:DiVA.org:kau-38996DiVA, id: diva2:892801
Conference
6th International Workshop on Security Testing (SECTEST) - IEEE Eighth International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 13-17 April 2015, Graz
Available from: 2016-01-11 Created: 2016-01-11 Last updated: 2018-01-10Bibliographically approved

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Afzal, ZeeshanLindskog, Stefan

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