文章基本信息

标题：Exploring the Effects of Gap-Penalties in Sequence-Alignment Approach to Polymorphic Virus Detection
本地全文：下载
作者：Vijay Naidu ; Jacqueline Whalley ; Ajit Narayanan 等
期刊名称：Journal of Information Security
印刷版ISSN：2153-1234
电子版ISSN：2153-1242
出版年度：2017
卷号：08
期号：04
页码：296-327
DOI：10.4236/jis.2017.84020
语种：English
出版社：Scientific Research Publishing
摘要：Antiviral 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.
关键词：Polymorphic 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