A STATE OF THE ART SURVEY ON POLYMORPHIC MALWARE ANALYSIS AND DETECTION TECHNIQUES

Abstract
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.

Authors
Emmanuel Masabo1, Kyanda Swaib Kaawaase2, Julianne Sansa-Otim3, John Ngubiri4, Damien Hanyurwimfura5
Makerere University, Uganda1,2,3,4, University of Rwanda, Rwanda4

Keywords
Polymorphic Malware, Static Analysis, Dynamic Analysis, Machine Learning, Malware Detection
Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 8 , Issue: 4 )
Date of Publication :
July 2018

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