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Explainable Malware Detection with Tailored Logic Explained Networks
May 7, 2024, 4:11 a.m. | Peter Anthony, Francesco Giannini, Michelangelo Diligenti, Martin Homola, Marco Gori, Stefan Balogh, Jan Mojzis
cs.CR updates on arXiv.org arxiv.org
Abstract: Malware detection is a constant challenge in cybersecurity due to the rapid development of new attack techniques. Traditional signature-based approaches struggle to keep pace with the sheer volume of malware samples. Machine learning offers a promising solution, but faces issues of generalization to unseen samples and a lack of explanation for the instances identified as malware. However, human-understandable explanations are especially important in security-critical fields, where understanding model decisions is crucial for trust and legal …
arxiv attack attack techniques challenge cs.ai cs.cr cybersecurity detection development explained logic machine machine learning malware malware detection networks rapid signature solution techniques
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