Privacy-Enhancing Fog Computing and Its Applications

• Main Authors: Lin, Xiaodong (Author, http://id.loc.gov/vocabulary/relators/aut), Ni, Jianbing (http://id.loc.gov/vocabulary/relators/aut), Shen, Xuemin (Sherman) (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: Data protection.; Wireless communication systems.; Mobile communication systems.; Electrical engineering.; Security.; Wireless and Mobile Communication.; Communications Engineering, Networks.

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...

Table of Contents:

• 1 Introduction
• 2 Privacy-enhancing Technologies
• 3 Identity Privacy Protection in Smart Parking Navigation
• 4 Location Privacy Protection in Mobile Crowdsensing
• 5 Data Privacy Protection in Smart Grid
• 6 Conclusions and Future Directions.