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Privacy-Enhancing Fog Computing and Its Applications
Beschreibung:
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.
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.
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