A Lightweight And privacy-preserving public cloud auditing scheme without bilinear pairings in smart cities

Social networking services are increasingly accessed through mobile devices. This trend has prompted services such as Facebook and Google+to incorporate location as a de facto feature of user interaction. At the same time, services based on location such as Foursquare and Shopkick are also growing as smartphone market penetration increases. In fact, this growth is happening despite concerns (growing at a similar pace) about security and third-party use of private location information (e.g., for advertising). Nevertheless, service providers have been unwilling to build truly private systems in which they do not have access to location information. In this paper, we describe an architecture and a trial implementation of a privacy-preserving location sharing system called ILSSPP. The system protects location information from the service provider and yet enables fine grained location-sharing. One main feature of the system is to protect an individual’s social network structure. The pattern of location sharing preferences towards contacts can reveal this structure without any knowledge of the locations themselves. ILSSPP protects locations sharing preferences through protocol unification and masking. ILSSPP has been implemented as a standalone solution, but the technology can also be integrated into location-based services to enhance privacy.

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K-Anonymous Privacy Preserving Scheme Based on Bilinear Pairings over Medical Data

Wireless Algorithms, Systems, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59016-1_32 ◽

2020 ◽

pp. 381-393

Author(s):

Linghang Meng ◽

Xueshu Hong ◽

Yingwen Chen ◽

Yuke Ding ◽

Chengzhuo Zhang

Keyword(s):

Bilinear Pairings ◽

Privacy Preserving ◽

Medical Data

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Blockchain-enabled Privacy Preserving of IoT Data for Sustainable Smart Cities using Machine Learning

10.1109/comsnets53615.2022.9668530 ◽

2022 ◽

Author(s):

Priyan Malarvizhi Kumar ◽

Bharat Rawal ◽

Jiechao Gao

Keyword(s):

Machine Learning ◽

Smart Cities ◽

Privacy Preserving

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Cyber Security Challenges for Smart Cities

10.4018/978-1-6684-3666-0.ch066 ◽

2022 ◽

pp. 1459-1480

Author(s):

Anand Nayyar ◽

Rachna Jain ◽

Bandana Mahapatra ◽

Anubhav Singh

Keyword(s):

Cyber Security ◽

Smart City ◽

Smart Grids ◽

Data Transfer ◽

Smart Cities ◽

Privacy Preserving ◽

Automation System ◽

Security Models ◽

The People ◽

Aerial Vehicle

Smart cities are composed of interlinked components with constant data transfer and services targeted at increasing the life style of the people. The chapter focuses on diverged smart city components as well as the security models designed to be implemented. The four major paradigms discussed in this chapter are smart grids, building automation system (BAS), unmanned aerial vehicle (UAV), and smart vehicles. Apart from addressing the security concerns of every component, the major highlights of this chapter are architecture, smart environment, industry, lifestyle, services, and digital lifestyle quality. Finally, the chapter focuses on privacy preserving mechanisms, its essence over smart cities, strong architecture related to privacy, preserving mechanism, and various approaches available that can retaliate these issues in a smart city environment.

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