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

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

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...

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Bibliographic Details
Main Authors: Emmanuel Masabo, Kyanda Swaib Kaawaase, Julianne Sansa-Otim, John Ngubiri, Damien Hanyurwimfura
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2018-07-01
Series:ICTACT Journal on Soft Computing
Subjects:
Polymorphic Malware
Static Analysis
Dynamic Analysis
Machine Learning
Malware Detection
Online Access:http://ictactjournals.in/ArticleDetails.aspx?id=3522
Description
Summary: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.
ISSN:0976-6561
2229-6956

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