| 書(shū)目名稱 | Modern Approaches in IoT and Machine Learning for Cyber Security |
| 副標(biāo)題 | Latest Trends in AI |
| 編輯 | Vinit Kumar Gunjan,Mohd Dilshad Ansari,ThiDieuLinh |
| 視頻video | http://file.papertrans.cn/637/636927/636927.mp4 |
| 概述 | Examines cyber risks associated with IoT and highlights essential cyber security.Fuses deep cyber security expertise with artificial intelligence, machine learning and advanced analytics tools.Include |
| 叢書(shū)名稱 | Internet of Things |
| 圖書(shū)封面 |  |
| 描述 | .This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.. |
| 出版日期 | Book 2024 |
| 關(guān)鍵詞 | Cyber security; Cyber Crime; Internet of Things; Machine Learning; Artificial Intelligence; Neural Networ |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-09955-7 |
| isbn_softcover | 978-3-031-09957-1 |
| isbn_ebook | 978-3-031-09955-7Series ISSN 2199-1073 Series E-ISSN 2199-1081 |
| issn_series | 2199-1073 |
| 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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