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Can I read Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence (Studies in Computational Intelligence, 1025) on EtoBox?

Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence (Studies in Computational Intelligence, 1025) by Mohiuddin Ahmed (editor), Sheikh Rabiul Islam (editor), Adnan Anwar (editor), Nour Moustafa (editor), Al-Sakib Khan Pathan (editor) is a nonfiction available to read on EtoBox.

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

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.

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

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Mohiuddin Ahmed (editor), Sheikh Rabiul Islam (editor), Adnan Anwar (editor), Nour Moustafa (editor), Al-Sakib Khan Pathan (editor)
Publisher
Springer International Publishing AG
Published
2022
Language
EN
ISBN
9783030966300
Category
nonfiction
Subjects
Science, Engineering, Computer Science

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