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Ngubiri, John
- A State of the Art Survey on Polymorphic Malware Analysis and Detection Techniques
Abstract Views :196 |
PDF Views:4
Authors
Emmanuel Masabo
1,
Kyanda Swaib Kaawaase
1,
Julianne Sansa-Otim
1,
John Ngubiri
1,
Damien Hanyurwimfura
2
Affiliations
1 College of Computing and Information Sciences, Makerere University, UG
2 College of Science and Technology, University of Rwanda, RW
1 College of Computing and Information Sciences, Makerere University, UG
2 College of Science and Technology, University of Rwanda, RW
Source
ICTACT Journal on Soft Computing, Vol 8, No 4 (2018), Pagination: 1762-1774Abstract
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.Keywords
Polymorphic Malware, Static Analysis, Dynamic Analysis, Machine Learning, Malware Detection.
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