| 書目名稱 | Privacy-Enhancing Fog Computing and Its Applications | | 編輯 | Xiaodong Lin,Jianbing Ni,Xuemin (Sherman) Shen | | 視頻video | http://file.papertrans.cn/757/756066/756066.mp4 | | 叢書名稱 | SpringerBriefs in Electrical and Computer Engineering | | 圖書封面 |  | | 描述 | .This SpringerBrief ?covers the security and privacy challenges in fog computing, and proposes a ?new secure and privacy-preserving mechanisms to resolve these challenges for securing fog-assisted IoT applications. Chapter 1 introduces the architecture of fog-assisted IoT applications and the security and privacy challenges in fog computing. Chapter 2 reviews several promising privacy-enhancing techniques and illustrates examples on how to leverage these techniques to enhance the privacy of users in fog computing. Specifically, ?the authors divide the existing privacy-enhancing techniques into three categories: identity-hidden techniques, location privacy protection and data privacy enhancing techniques. The research is of great importance since security and privacy problems faced by fog computing impede the healthy development of its enabled IoT applications..?.With the advanced privacy-enhancing techniques, the authors propose three secure andprivacy-preserving protocols for fog computing applications, including smart parking navigation, mobile crowdsensing and smart grid. ?Chapter 3 introduces identity privacy leakage in smart parking navigation systems, and proposes a privacy-p | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | Fog computing; privacy conversion; cyber security; Internet of Things (IoT); Mobile Crowdsensing; securit | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-02113-9 | | isbn_softcover | 978-3-030-02112-2 | | isbn_ebook | 978-3-030-02113-9Series ISSN 2191-8112 Series E-ISSN 2191-8120 | | issn_series | 2191-8112 | | copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2018 |
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