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dc.identifier.citationJournal of Information Security, 8, 296-327. doi: 10.4236/jis.2017.84020.
dc.description.abstractAntiviral software systems (AVSs) have problems in identifying polymorphic variants of viruses without explicit signatures for such variants. Alignment-based techniques from bioinformatics may provide a novel way to generate signatures from consensuses found in polymorphic variant code. We demonstrate how multiple sequence alignment supplemented with gap penalties leads to viral code signatures that generalize successfully to previously known polymorphic variants of JS. Cassandra virus and previously unknown polymorphic variants of W32.CTX/W32.Cholera and W32.Kitti viruses. The implications are that future smart AVSs may be able to generate effective signatures automatically from actual viral code by varying gap penalties to cover for both known and unknown polymorphic variants.en_NZ
dc.publisherScientific Research Publishing Inc.
dc.rightsCopyright © 2018 by authors and Scientific Research Publishing Inc. Creative Commons License This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
dc.subjectPolymorphic Malware Variants; Gap Penalties; Syntactic Approach; Pairwise Sequence Alignment; Multiple Sequence Alignment; Automatic Signature Generation; Smith-Waterman Algorithm; JS. Cassandra Virus; W32.CTX/W32.Cholera Virus; W32.Kitti Virus
dc.titleExploring the Effects of Gap-penalties in Sequence-alignment Approach to Polymorphic Virus Detectionen_NZ
dc.typeJournal Article
dark.contributor.authorNaidu, Ven_NZ
dark.contributor.authorWhalley, Jen_NZ
dark.contributor.authorNarayanan, Aen_NZ
aut.relation.journalJournal of Information Securityen_NZ

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