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Explainable Artificial Intelligence for Cyber Security

Next Generation Artificial Intelligence

  • Book
  • © 2022

Overview

  • Serves as an excellent reference for those who are working in cyber security and artificial intelligence
  • Presents recent research on Explainable Artificial Intelligence for Cyber Security
  • Provides introduction to Fundamental Concepts of Explainable Artificial Intelligence and applications to Cyber Security

Part of the book series: Studies in Computational Intelligence (SCI, volume 1025)

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Table of contents (12 chapters)

Keywords

About this book

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.

Editors and Affiliations

  • School of Science, Edith Cowan University, Joondalup, Australia

    Mohiuddin Ahmed

  • Department of Computing Sciences, University of Hartford, West Hartford, USA

    Sheikh Rabiul Islam

  • School of IT, Deakin University, Melbourne, Australia

    Adnan Anwar

  • School of Engineering and IT, UNSW Canberra, Campbell, Australia

    Nour Moustafa

  • Department of Computer Science and Engineering, United International University (UIU), Dhaka, Bangladesh

    Al-Sakib Khan Pathan

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