Polymorphic worm detection using strong token-pair signatures

dc.contributor.authorBayoglu, Burak
dc.contributor.authorSoğukpınar, İbrahim
dc.date.accessioned2025-10-29T11:08:29Z
dc.date.issued2009
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractMalicious software has become a big threat to information systems, which, are widely used to store, transfer and process information for many critical assets. worms are one of the most harmful network-enabled malicious software that can threaten networks and applications. Two main characteristics of worms distinguish them. front the well-known virus programs and as a results are much more dangerous than the virus programs. First, they do not need to attach themselves to an existing program. Second, worms do not require end-user interaction to realize the intended attack. Therefore, a large number of victims can be infected in a short time. Polymorphic worms are a special subset of worm family which are more difficult to detect. Polymorphism is the key that facilitates creating different looking polymorphic worm copies while keeping the original worm code intact. Each variant for a polymorphic worm has a different pattern that it is not effective to use simple signature matching techniques. In this work, Strong Token-Pair(STP) signature scheme has been proposed to detect polymorphic worms. Experiemental results support that STP signatures can be used with low false negative and false positive rates.
dc.identifier.doi10.3906/elk-0905-29
dc.identifier.endpage182
dc.identifier.issn1300-0632
dc.identifier.issn1303-6203
dc.identifier.issue2
dc.identifier.orcid0000-0002-0408-0277
dc.identifier.scopus2-s2.0-68049127986
dc.identifier.scopusqualityQ2
dc.identifier.startpage163
dc.identifier.trdizinid91734
dc.identifier.urihttps://doi.org/10.3906/elk-0905-29
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/91734
dc.identifier.urihttps://hdl.handle.net/20.500.14854/5367
dc.identifier.volume17
dc.identifier.wosWOS:000269793600005
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherTubitak Scientific & Technological Research Council Turkey
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20251020
dc.subjectPolymorphic worm
dc.subjectworm detection
dc.titlePolymorphic worm detection using strong token-pair signatures
dc.typeArticle

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