Explainable Artificial Intelligence and Cybersecurity: A Systematic Literature Review

• URL: http://arxiv.org/abs/2303.01259v1
• Date: Mon, 27 Feb 2023 17:47:56 GMT
• Title: Explainable Artificial Intelligence and Cybersecurity: A Systematic Literature Review
• Authors: Carlos Mendes and Tatiane Nogueira Rios
• Abstract summary: XAI aims to make the operation of AI algorithms more interpretable for its users and developers. This work seeks to investigate the current research scenario on XAI applied to cybersecurity.
• Score: 0.799536002595393
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: Cybersecurity vendors consistently apply AI (Artificial Intelligence) to their solutions and many cybersecurity domains can benefit from AI technology. However, black-box AI techniques present some difficulties in comprehension and adoption by its operators, given that their decisions are not always humanly understandable (as is usually the case with deep neural networks, for example). Since it aims to make the operation of AI algorithms more interpretable for its users and developers, XAI (eXplainable Artificial Intelligence) can be used to address this issue. Through a systematic literature review, this work seeks to investigate the current research scenario on XAI applied to cybersecurity, aiming to discover which XAI techniques have been applied in cybersecurity, and which areas of cybersecurity have already benefited from this technology.

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