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(2018). Malware Detection Using Image Visualization. Electronic and Cyber Defense, 9(2), 95-101.
. "Malware Detection Using Image Visualization". Electronic and Cyber Defense, 9, 2, 2018, 95-101.
(2018). 'Malware Detection Using Image Visualization', Electronic and Cyber Defense, 9(2), pp. 95-101.
Malware Detection Using Image Visualization. Electronic and Cyber Defense, 2018; 9(2): 95-101.

Malware Detection Using Image Visualization

پدافند غیرعامل
Article 9, Volume 9, Issue 2, September 2029, Pages 95-101    PDF (1.15 M)
Document Type: Original Article
Receive Date: 06 June 2017,  Revise Date: 04 March 2019,  Accept Date: 19 September 2018 
Abstract
In this article a new technique is proposed  for detection of polymorphic malware based on image processing. With the proliferation of polymorphic malware, the efficacy of signature-based static analysis systems is greatly reduced. This survey is based on the comparison of the images developed from malware samples binary code. With the advent of image processing applications for binary code analysis, numerous features could be extracted for comparing malware isomorphs. Based on these features, we have been capable of detecting malware isomporphs with an unprecedented accuracy. Most often, malware samples binaries are packed. Using our proposed method, we have been capable of detecting the unique similarity between executables packed with a same packer.     
Keywords
Malware; Viruses; Visualizing; Polymorphic; Image Proccessing
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