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Privacy-area aware dummy generation algorithms for Location-Based Services
2014 IEEE International Conference on Communications (ICC), 2014Location-Based Services (LBSs) have been one of the most popular activities in our daily life. Users can send queries to the LBS server easily to learn their surroundings. However, these location-related queries may result in serious privacy concerns since the un-trusted LBS server has all the information about users and may track them in various ways.
Ben Niu 0001 +3 more
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Location privacy from dummy devices in database-coordinated spectrum sharing
2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 2017One way to make more spectrum available is through white space sharing, where secondary spectrum users are allowed to transmit from any location except inside exclusion zones (EZs) that are drawn around primary spectrum users (PUs). However, EZ boundaries reveal the locations of PUs, and for some devices, location privacy is extremely important ...
Nirajan Rajkarnikar +2 more
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Dummy-Based Location Anonymization for Controlling Observable User Preferences
2019 IEEE Global Communications Conference (GLOBECOM), 2019In this paper, we propose a location anonymization method which can control the degree of preserving user preferences on visiting locations, where the user's preferences are defined as a series of categories of the visiting locations. Based on the user's requirement, this method mixes dummies that move by following the user's preferences and that do ...
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2010 International Conference on Availability, Reliability and Security, 2010
We propose a binomial-mix-based location anonymizer system with global dummy generation to protect user location privacy in location-based services in the face of attacks from a global active adversary and even with untrusted location-based service providers.
Minh-Triet Tran +2 more
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We propose a binomial-mix-based location anonymizer system with global dummy generation to protect user location privacy in location-based services in the face of attacks from a global active adversary and even with untrusted location-based service providers.
Minh-Triet Tran +2 more
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Dummies and Nearest Neighbor Based Location Privacy Protection
Journal of Information and Computational Science, 2013Location-based services require users to supply their location information. However, a user’s location can be tracked without her consent or knowledge. Once the trajectory of a user is identified, his locations will be exposed. Thus, it is critical to protect the movement trajectories of mobile users in order to preserve user location privacy.
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A Voronoi-Based Dummy Generation Algorithm for Privacy-Aware Location-Based Services
2016 IEEE First International Conference on Data Science in Cyberspace (DSC), 2016Location-based services are popular server modes. However, location privacy problem in the Location-based services becomes a potential concern for service providers and users. In addition, existing obfuscation schemes downplay the effect of the privacy area and the practical road distribution in the areas. They mainly consider how to generate k dummies
Cui Zhang, Fenghua Li
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Dummy-Based Trajectory Privacy Protection Against Exposure Location Attacks
2019With the development of positioning technology and location-aware devices, moving objects’ location and trajectory information have been collected and published, resulting in serious personal privacy leakage. Existing dummy trajectory privacy preserving method does not consider user’s exposure locations, which causes the adversary can easily exclude ...
Xiangyu Liu +5 more
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A Topological Dummy-based Location Privacy Protection Mechanism for the Internet of Drones
ICC 2022 - IEEE International Conference on Communications, 2022Alisson Renan Svaigen +3 more
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Privacy-preserving enhanced dummy-generation technique for location-based services
Concurrency Computation Practice and Experience, 2023Udai Pratap Rao, Dilay Parmar
exaly
Efficient dummy generation for considering obstacles and protecting user location
Concurrency Computation Practice and Experience, 2021Vladimir Shakhov, Kwangjin Park
exaly