Almomani, A and Mishra, Anupama Malware Detection Techniques: A Comprehensive Study. Insights: An International Interdisciplinary Journal.
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Malware-Detection-Techniques-A-Comprehensive-Study.pdf - Published Version
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Abstract
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 |
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SUC Author(s): | Almomani, A ORCID: https://orcid.org/0000-0002-8808-6114 |
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 |
URI: | https://research.skylineuniversity.ac.ae/id/eprint/682 |
Publisher URL: | https://insights2techinfo.com/wp-content/uploads/2... |
Publisher OA policy: | |
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