The Technique for Metamorphic Viruses' Detection based on its Obfuscation Features Analysis


The paper presents an approach for the metamorphic viruses detection based on its obfuscation features analysis. The obfuscation features were obtained on the basis of the equivalent functional block search in the suspicious program and its modified version. The results of the research demonstrated that the efficiency of metamorphic viruses detection based on the proposed obfuscation quantitative features depends on the choice of the similarity metric at the stages of the search and the choice refinement of the equivalent functional blocks. The adequate choice of similarity metrics at both stages allowed increasing the detection efficiency of the metamorphic viruses.

Meeting Name

14th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, ICTERI 2018 (2018: May 14-17, Kyiv, Ukraine)


Computer Science

Keywords and Phrases

Efficiency; Industrial research; Knowledge management; Viruses; Detection efficiency; Distance metrics; Functional block; Obfuscation; Opcode; Quantitative features; Similarity metrics; Feature extraction; Equivalent functional block; Metamorphic virus

International Standard Serial Number (ISSN)


Document Type

Article - Conference proceedings

Document Version


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© 2018 The Authors, All rights reserved.

Publication Date

01 May 2018

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