Donazioni 15 September, 2024 – 1 Ottobre, 2024 Sulla raccolta fondi

Explainable Artificial Intelligence for Cyber Security

Explainable Artificial Intelligence for Cyber Security

Mohiuddin Ahmed, Sheikh Rabiul Islam, Adnan Anwar, Nour Moustafa, Al-Sakib Khan Pathan
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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.
Anno:
2022
Edizione:
1st ed. 2022
Casa editrice:
Springer
Lingua:
english
Pagine:
280
ISBN 10:
3030966291
ISBN 13:
9783030966294
File:
RAR, 37.52 MB
IPFS:
CID , CID Blake2b
english, 2022
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