vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff9d5e27000000f61e000001000100 Nowadays, systems are under serious security threats caused by malicious software, commonly known as malware. Such malwares are sophisticatedly created with advanced techniques that make them hard to analyse and detect, thus causing a lot of damages. Polymorphism is one of the advanced techniques by which malware change their identity on each time they attack. This paper presents a detailed systematic and critical review that explores the available literature, and outlines the research efforts that have been made in relation to polymorphic malware analysis and their detection.
Emmanuel Masabo1, Kyanda Swaib Kaawaase2, Julianne Sansa-Otim3, John Ngubiri4, Damien Hanyurwimfura5
Makerere University, Uganda1,2,3,4, University of Rwanda, Rwanda4
Polymorphic Malware, Static Analysis, Dynamic Analysis, Machine Learning, Malware Detection
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| Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 8 , Issue: 4 , Pages: 1762-1774 )
Date of Publication :
July 2018
Page Views :
324
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