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商品詳細
Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence. 2022 ed.
・ISBN 978-3-030-96629-4 hard EUR 159.99
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| 著者・編者 | Ahmed, Mohiuddin / Islam, Sheikh Rabiul / Anwar, Adnan / Moustafa, Nour / Pathan, Al-Sakib Khan (eds.), |
|---|---|
| シリーズ | (Studies in Computational Intelligence) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 280 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-20226＞ |
解説
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.