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Enhancing Mac OS Malware Detection through Machine Learning and Mach-O File Analysis

Thaeler, Andrew; Yigit, Yagmur; Maglaras, Leandros A.; Buchanan, Bill; Moradpoor, Naghmeh; Russell, Gordon

Authors

Andrew Thaeler

Yagmur Yigit



Abstract

Malware research has predominantly focused on Windows and Android Operating Systems (OS), leaving Mac OS malware relatively unexplored. This paper addresses the growing threat of Mac OS malware by leveraging Machine Learning (ML) techniques. We propose a novel system for Mac malware detection that extends beyond traditional executables to include various Mach-O (Mach Object) file types. Our research encompasses feature selection, data sets, and the implementation of ML classifiers. We meticulously evaluate system performance using Precision, Recall, F1 score, and Accuracy metrics. Our findings highlight the challenges and opportunities in Mac malware detection and provide valuable insights for future research.

Citation

Thaeler, A., Yigit, Y., Maglaras, L. A., Buchanan, B., Moradpoor, N., & Russell, G. (2023, November). Enhancing Mac OS Malware Detection through Machine Learning and Mach-O File Analysis. Presented at IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMDAD) 2023, Edinburgh, UK

Presentation Conference Type Conference Paper (published)
Conference Name IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMDAD) 2023
Start Date Nov 6, 2023
End Date Nov 8, 2023
Acceptance Date Oct 7, 2023
Online Publication Date Mar 27, 2024
Publication Date 2023
Deposit Date Oct 10, 2023
Publicly Available Date Dec 31, 2023
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Peer Reviewed Peer Reviewed
Pages 170-175
Book Title 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)
ISBN 9798350303506
DOI https://doi.org/10.1109/CAMAD59638.2023.10478430
Keywords Mac OS Malware Detection, Mach-O Files, Malware Detection, Static Malware Analysis
Public URL http://researchrepository.napier.ac.uk/Output/3212583
Related Public URLs https://camad2023.ieee-camad.org/

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