ACPP: An effective privacy preserving scheme for precise location sharing in internet of vehicles

Author(s):  
Xinling Zhou ◽  
Mingsong Chen ◽  
Lei Peng ◽  
Huiyun Li
2021 ◽  
pp. 1-12
Author(s):  
Gokay Saldamli ◽  
Richard Chow ◽  
Hongxia Jin

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.


2016 ◽  
Vol 44 ◽  
pp. 102-109 ◽  
Author(s):  
Nan Shen ◽  
Jun Yang ◽  
Ke Yuan ◽  
Chuan Fu ◽  
Chunfu Jia

2021 ◽  
Vol 11 (21) ◽  
pp. 9792
Author(s):  
Konstantinos Kaltakis ◽  
Panagiota Polyzi ◽  
George Drosatos ◽  
Konstantinos Rantos

Blockchain, a promising technology that has matured and nowadays is widely used in many fields, such as supply chain management, smart grids, agriculture and logistics, has also been proposed for the Internet of Vehicles (IoV) ecosystem to enhance the protection of the data that roadside units and vehicles exchange. Blockchain technology can inherently guarantee the availability, integrity and immutability of data stored in IoV, yet it cannot protect privacy and data confidentiality on its own. As such, solutions that utilise this technology have to consider the adoption of privacy-preserving schemes to address users’ privacy concerns. This paper provides a literature review of proposed solutions that provide different vehicular services using blockchain technology while preserving privacy. In this context, it analyses existing solutions’ main characteristics and properties to provide a comprehensive and critical overview and identifies their contribution in the field. Moreover, it provides suggestions to researchers for future work in the field of privacy-preserving blockchain-enabled solutions for vehicular networks.


2020 ◽  
Vol 69 (5) ◽  
pp. 5535-5548 ◽  
Author(s):  
Anil Kumar Sutrala ◽  
Palak Bagga ◽  
Ashok Kumar Das ◽  
Neeraj Kumar ◽  
Joel J. P. C. Rodrigues ◽  
...  

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