Explainable Artificial Intelligence in Cybersecurity: A Brief Review

S. Hariharan, Anusha Velicheti, A.S. Anagha, Ciza Thomas, N. Balakrishnan
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引用次数: 13

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.
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网络安全中可解释的人工智能:简要回顾
人工智能在网络世界安全方面有着巨大的前景。人工智能在网络安全领域的研究很多,但在现实世界中的应用却非常有限。人工智能模型缺乏可解释性和准确性,这对实现构成了限制,因为用户需要确信用于决策的人工智能系统是值得信赖的。可解释的人工智能克服了这种担忧,是迈向可靠和可预测的人工智能的正确一步。本文旨在通过现有文献提供对网络安全中可解释人工智能的各种术语、分类和范围、面临的挑战和用于评估的指标的广泛理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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