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Automated Testing of IDS Rules
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (PriSec)ORCID-id: 0000-0001-9886-6651
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (PriSec)ORCID-id: 0000-0003-0778-4736
2015 (engelsk)Inngår i: Software Testing, Verification and Validation Workshops (ICSTW), 2015 IEEE Eighth International Conference on, IEEE, 2015Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IEEE, 2015.
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-38996DOI: 10.1109/ICSTW.2015.7107461ISI: 000373338600057ISBN: 978-1-4799-1885-0 (tryckt)OAI: oai:DiVA.org:kau-38996DiVA, id: diva2:892801
Konferanse
6th International Workshop on Security Testing (SECTEST) - IEEE Eighth International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 13-17 April 2015, Graz
Prosjekter
HITS, 4707
Forskningsfinansiär
Knowledge FoundationTilgjengelig fra: 2016-01-11 Laget: 2016-01-11 Sist oppdatert: 2019-11-11bibliografisk kontrollert

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Afzal, ZeeshanLindskog, Stefan

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