| 書目名稱 | Handbook of Big Data Privacy |
| 編輯 | Kim-Kwang Raymond Choo,Ali Dehghantanha |
| 視頻video | http://file.papertrans.cn/421/420872/420872.mp4 |
| 概述 | One of the first handbooks that provides interdisciplinary coverage of security, privacy and forensics knowledge in the field of big data and IoT security, privacy, and forensics.Presents an up-to-dat |
| 圖書封面 |  |
| 描述 | This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook.?.The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks.? |
| 出版日期 | Book 2020 |
| 關(guān)鍵詞 | cyber threat; cyber security; privacy; big data; threat intelligence; machine learning; cyber forensics; in |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-38557-6 |
| isbn_softcover | 978-3-030-38559-0 |
| isbn_ebook | 978-3-030-38557-6 |
| copyright | Springer Nature Switzerland AG 2020 |
|Archiver|手機(jī)版|小黑屋|
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