A State of the Art Survey on Polymorphic Malware Analysis and Detection Techniques

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dc.contributor.authorMasabo, Emmanuel
dc.contributor.authorKaawaase, Kyanda Swaib
dc.contributor.authorSansa-Otim, Julianne
dc.contributor.authorNgubiri, John
dc.contributor.authorHanyurwimfura, Damien
dc.date.accessioned2022-09-05T12:57:00Z
dc.date.available2022-09-05T12:57:00Z
dc.date.issued2018
dc.description.abstractNowadays, 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.en_US
dc.identifier.citationMasabo, E., Kaawaase, K. S., Sansa-Otim, J., Ngubiri, J., & Hanyurwimfura, D. (2018). A state of the art survey on polymorphic malware analysis and detection techniques. ICTACT Journal of Soft Computing, 8(4). DOI: 10.21917/ijsc.2018.0246en_US
dc.identifier.other10.21917/ijsc.2018.0246
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/4552
dc.language.isoenen_US
dc.publisherJournal of Soft Computingen_US
dc.subjectPolymorphic Malwareen_US
dc.subjectStatic Analysisen_US
dc.subjectDynamic Analysisen_US
dc.subjectMachine Learningen_US
dc.subjectMalware Detectionen_US
dc.titleA State of the Art Survey on Polymorphic Malware Analysis and Detection Techniquesen_US
dc.typeArticleen_US
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