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Location Privacy Protection Scheme Based on Location Services

Proceedings of the 2019 9th International Conference on Communication and Network Security, 2019
Location-based services (LBS) in the mobile internet applications are very important and provide a great convenience. However, at the same time it brings the threat of privacy leak. For location services, a location privacy protection scheme is proposed, which includes location hiding algorithm and query privacy protection algorithm.
Chen Yang, Wei Yan
openaire   +1 more source

An Obfuscation-Based Approach for Protecting Location Privacy

IEEE Transactions on Dependable and Secure Computing, 2011
The pervasive diffusion of mobile communication devices and the technical improvements of location techniques are fostering the development of new applications that use the physical position of users to offer location-based services for business, social, or informational purposes.
C.A. Ardagna   +3 more
openaire   +2 more sources

Protecting Location Privacy in Spatial Crowdsourcing

2015
Recently, spatial crowdsourcing has attracted wide attention in both the research community and industry, one of which is the eMarket platform. It enables requesters to release spatial tasks (i.e., tasks related to a location) and expect them to be performed by workers (i.e., users with smart mobile devices).
Jie Hu   +4 more
openaire   +1 more source

Virtual Location Generation for Location Privacy Protection in VANET

2020
Thanks to the wide development of the vehicular ad-hoc network (VANET), users can enjoy diverse location-based services (LBSs) on route. However, these LBSs also bring location privacy issues, which seriously threaten the personal privacy of VANET users.
Zhihong Li   +4 more
openaire   +1 more source

The survey of location privacy protection

2012 International Conference on Wavelet Active Media Technology and Information Processing (ICWAMTIP), 2012
For the past few years, the Location-Based Service (LBS) is becoming more and more important for people's life. On the one hand, it is easy to told people that where is they are anytime, On the other hand, the privacy of location issues attract more and more attention.
null Zong-Wen Liang   +3 more
openaire   +1 more source

Location Recommendation with Privacy Protection

Proceedings of the 2019 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 2019
With the development of Internet technology, users pay more and more attention to the privacy of personal location data. In order to cover up the user's original check-in data information and prevent attackers from using the user's friend relationship to infer the privacy information of a single user, our paper proposed a hybrid privacy protection ...
Chang Su, Yumeng Chen, Xianzhong Xie
openaire   +1 more source

Intelligent pseudo‐location recommendation for protecting personal location privacy

Concurrency and Computation: Practice and Experience, 2019
SummaryIndividuals' right to privacy includes control over access to their location information. With the advent of location‐based services and personal transport services (such as ridesharing), the risk of location privacy breaches is increased greatly.
Guang-Li Huang   +3 more
openaire   +4 more sources

Quantifying and Protecting Location Privacy

2013
Recent developments in information and communication technologies have been profound and life-changing. Most people are now equipped with smart phones with high computation power and communication capabilities. These devices can efficiently run multiple software applications in parallel, store a non-negligible amount of (personal) user data, process ...
openaire   +1 more source

Protecting location privacy and query privacy: a combined clustering approach

Concurrency and Computation: Practice and Experience, 2014
SummaryIn this paper, a combined clustering algorithm namelyenhanced clustering cloak(ECC), for protecting location privacy and query privacy is proposed. An iterative K‐means clustering method is developed to group the user requests into clusters for providing location safety.
Chi Lin 0001   +2 more
openaire   +1 more source

PrivSem: Protecting location privacy using semantic and differential privacy

World Wide Web, 2019
In this paper, we address the problem of users’ location privacy preservation on road networks. Most existing privacy preservation techniques rely on structure-based spatial cloaking, but pay little attention to locations’ semantic information. Yet, the semantics may disclose sensitive information of mobile users.
Yanhui Li   +3 more
openaire   +1 more source

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