Malware Detection Techniques: A Comprehensive Study

Almomani, A and Mishra, Anupama Malware Detection Techniques: A Comprehensive Study. Insights: An International Interdisciplinary Journal.

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Malware has become a major threat to computer systems, causing a significant loss of data and financial damage. Detection of malware is therefore an important aspect of cybersecurity.In this paper, we provide a comprehensive study of various malware detection techniques, including signature-based, behavior-based, and machine learning-based approaches. We also propose a hybrid approach combining multiple techniques to improve the accuracy of malware detection.

Affiliation: Skyline University College
SUC Author(s): Almomani, A ORCID:
All Author(s): Almomani, A and Mishra, Anupama
Item Type: Article
Uncontrolled Keywords: Malware, Cyber Attacks, Signature-Based, Behaviour-Based
Subjects: B Information Technology > BP Internet of Things
Divisions: Skyline University College > School of IT
Depositing User: Mr Mosys Team
Date Deposited: 18 Dec 2023 16:13
Last Modified: 18 Dec 2023 16:13
Publisher URL:
Publisher OA policy:
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