| 书目名称 | Deep Learning Techniques for IoT Security and Privacy |
| 编辑 | Mohamed Abdel-Basset,Nour Moustafa,Weiping Ding |
| 视频video | |
| 概述 | Presents a Machine Learning Approach to Conducting Digital Forensics.Contains state-of-the-art research and shows how to teach hands-on incident response and digital forensic courses.Covers the applic |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book‘s material.. |
| 出版日期 | Book 2022 |
| 关键词 | Cyber Forensics; Digital Forensic Education; Digital Forensics; Virtual Machines Forensics; Social Media |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-89025-4 |
| isbn_softcover | 978-3-030-89027-8 |
| isbn_ebook | 978-3-030-89025-4Series 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 |
发表于 2025-3-21 17:04:54
