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 and privacy-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-preserving smart
parking navigation system to prevent identity privacy exposure and
support efficient parking guidance retrieval through road-side units
(fogs) with high retrieving probability and security guarantees. Chapter
4 presents the location privacy leakage, during task allocation in
mobile crowdsensing, and propose a strong privacy-preserving task
allocation scheme that enables location-based task allocation and
reputation-based report selection without exposing knowledge about the
location and reputation for participators in mobile crowdsensing.
Chapter 5 introduces the data privacy leakage in smart grid, and
proposes an efficient and privacy-preserving smart metering protocol to
allow collectors (fogs) to achieve real-time measurement collection with
privacy-enhanced data aggregation. Finally, conclusions and future
research directions are given in Chapter 6.
This brief validates the significant feature extension and efficiency
improvement of IoT devices without sacrificing the security and privacy
of users against dishonest fog nodes. It also provides valuable insights
on the security and privacy protection for fog-enabled IoT applications.
Researchers and professionals who carry out research on security and
privacy in wireless communication will want to purchase this
SpringerBrief. Also, advanced level students, whose main research area
is mobile network security will also be interested in this
SpringerBrief.
