| 書目名稱 | Explainable Artificial Intelligence for Cyber Security |
| 副標(biāo)題 | Next Generation Arti |
| 編輯 | Mohiuddin Ahmed,Sheikh Rabiul Islam,Al-Sakib Khan |
| 視頻video | http://file.papertrans.cn/320/319293/319293.mp4 |
| 概述 | 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 int |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2022 |
| 關(guān)鍵詞 | Computational Intelligence; Artificial Intelligence; Machine Learning; Deep Learning; Security Analytics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-96630-0 |
| isbn_softcover | 978-3-030-96632-4 |
| isbn_ebook | 978-3-030-96630-0Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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