ENGLISH

Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence (Studies in Computational Intelligence, 1025)

By Mohiuddin Ahmed (editor) , Al-Sakib Khan Pathan (editor) , Sheikh Rabiul Islam (editor) , Adnan Anwar (editor) , Nour Moustafa (editor)

Book information

Publisher
Springer
Year
2022
ISBN
3030966291, 9783030966294
Language
english
Format
PDF
Filesize
6 MB (6308556 bytes)
Pages
292\283
Time added
2024-04-07 07:23:12

Description

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.

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