Explainable Artificial Intelligence in Cybersecurity: A Brief Review

Hariharan, S and Velicheti, A and Anagha, AS and Thomas, C and Balakrishnan, N (2021) Explainable Artificial Intelligence in Cybersecurity: A Brief Review. In: 4th ISEA International Conference on Security and Privacy, ISEA-ISAP 2021, 27-30 Oct 2021, Dhanbad, Bihar, India.

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Abstract

Artificial intelligence has an enormous prospective to secure the cyber world. A lot of research is happening in the area of artificial intelligence in cyber security, however, the adoption in real-world practice is extremely limited. Lack of interpretability and accuracy of the artificial intelligence models pose restriction in implementation, as the user need to be confident that the Artificial Intelligence system used in decision making is trustworthy. Explainable Artificial Intelligence overcomes this concern and is the right step towards dependable and predictable Artificial Intelligence. This paper aims to provide a broad understanding of various terminology, classification, and scope of Explainable Artificial Intelligence in cyber security, challenges faced and metrics used for evaluation through the existing literature. © 2021 IEEE.

Item Type:	Conference Paper
Publication:	Proceedings of the 4th ISEA International Conference on Security and Privacy, ISEA-ISAP 2021
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Artificial intelligence; Decision making, Cyber security; Explainability; Intelligence models; Interpretability; Interpretability and accuracy; Model agnostic; Model specific; Post-hoc; Prospectives; Real-world practice, Cybersecurity
Department/Centre:	Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited:	15 May 2022 18:01
Last Modified:	15 May 2022 18:01
URI:	https://eprints.iisc.ac.in/id/eprint/71667

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