This SpringerBrief &nbsp;covers the security and privacy challenges in fog computing, and proposes a &nbsp;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, &nbsp;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. &nbsp; 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. &nbsp;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. &nbsp;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. &nbsp;Also, advanced level students, &nbsp;whose main research area is mobile network security will also be interested in this SpringerBrief.&nbsp;

Privacy-Enhancing Fog Computing and Its Applications (SpringerBriefs in Electrical and Computer Engineering)

Computers & Technology

Shen, Xuemin Sherman

Lin, Xiaodong

Ni, Jianbing

Networking & Cloud Computing

Springer

Internet Access in Vehicular Networks

Zhou, Haibo

Xu, Wenchao

Computer Science

This book proposes secure schemes to address security challenges in secure automatic dependent surveillance-broadcast systems (ADS-B) from five different angles. First, the authors examine encryption schemes applied to the ADS-B environment for protecting messages confidentiality. Second, they propose an ADS-B broadcast authentication scheme with batch verification by employing an identity-based signature. Third, they present ADS-B broadcast authentication scheme based on a digital signature with message recovery, which provides a feature that the message is recoverable from the signature. Fourth, they propose a new cryptographic solution to ADS-B security. Finally, they propose an accurate and efficient cognitive aircraft location verification scheme preserving aircraft location privacy by utilizing a grid-based k-nearest neighbor algorithm. In summary, the authors show how ADS-B data links can greatly enhance flight safety by these proposed schemes without sacrificing data security. Proposes several secure schemes to address security challenges in secure automatic dependent surveillance-broadcast systems (ADS-B); Provides extensive experiments and evaluates the proposed schemes using real-world data; Shows how ADS-B data links can greatly enhance safety without sacrificing data security

Secure Automatic Dependent Surveillance-Broadcast Systems (Wireless Networks)

Yang, Haomiao

Li, Hongwei

Reference

Security in Smart Home Networks (Wireless Networks)

Meng, Yan

Zhu, Haojin

Advanced Wireless Technologies for Industrial Network Systems (Wireless Networks)

Guan, Xinping

Cheng, Nan

Lyu, Ling

Blockchain-Based Data Security in Heterogeneous Communications Networks (Wireless Networks)

Liu, Dongxiao

Decentralized Privacy Preservation in Smart Cities (Wireless Networks)

Huang, Cheng

Backdoor Attacks against Learning-Based Algorithms (Wireless Networks)

Wu, Wen

Li, Shaofeng

Privacy-Preserving Techniques with e-Healthcare Applications (Wireless Networks)

Feng, Dengguo

ZHU DAN

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Books by Shen, Xuemin Sherman