Explainable artificial intelligence for cyber security: Next generation artificial intelligence

Document Type

Book

Publication Title

Studies in Computational Intelligence

Publisher

Springer

School

School of Science

Comments

Ahmed, M., Islam, S. R., Anwar, A., Moustafa, N., & Pathan, A. S. K. (Eds.). (2022). Explainable artificial intelligence for cyber security: Next generation artificial intelligence. Cham: Springer. https://doi.org/10.1007/978-3-030-96630-0

Abstract

This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.

DOI

10.1007/978-3-030-96630-0

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