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A dummy location generation algorithm based on the semantic quantification of location
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), 2021With the widespread use of location-based services, the risk of location privacy leakage increases. Aiming at the problem that the traditional privacy protection scheme does not fully consider the location privacy leakage caused by the attacker's ability to infer the attack through location semantics, this paper proposes a dummy location generation ...
Xiujin Shi, Junrui Zhang, Yuan Gong
exaly +2 more sources
Dummy Location Selection Scheme for K-Anonymity in Location Based Services
2017 IEEE Trustcom/BigDataSE/ICESS, 2017Location-Based Service (LBS) becomes increasingly important for our daily life. However, the localization information in the air is vulnerable to various attacks, which result in serious privacy concerns. To overcome this problem, we formulate a multi-objective optimization problem with considering both the query probability and the practical dummy ...
Yinlong Liu
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A Semantic-Based Dummy Generation Strategy for Location Privacy
2019 International Conference on Networking and Network Applications (NaNA), 2019With the widespread adoption of mobile devices and technical improvement of localization technologies, users can benefit from Location-Based Services (LBSs), which need users' private information. However, users' privacy are vulnerable. Even though the k-anonymity technique has been widely used, adversaries who have external spatiotemporal information ...
Muyu Zhao +3 more
exaly +2 more sources
DLP: Achieve Customizable Location Privacy With Deceptive Dummy Techniques in LBS Applications
IEEE Internet of Things Journal, 2022As a straightforward consequence of advances in the Internet of Things (IoT), location-based service (LBS) applications have been pervasive in our daily lives. Nevertheless, since those LBS applications will continuously collect and disclose users’ location data, major concerns on privacy leakage are raised.
Jiezhen Tang, Hui Zhu, Rongxing Lu
exaly +2 more sources
Dispersed dummy selection approach for location‐based services to preempt user‐profiling
Concurrency Computation Practice and Experience, 2021SummaryLocation‐based services (LBS) provide specific personalized services based on the location information provided by the user. Disclosing the users' private data is a challenging issue prevailing in LBS. Users become victims of online user‐profile disclosure risks when they continuously utilize the services and attempt to disclose private data ...
A B Manju, Sumathy S
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Context Optimized and Spatial Aware Dummy Locations Generation Framework for Location Privacy
Journal of Geovisualization and Spatial Analysis, 2022Dr. Aditya Tadakaluru
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Preserving Privacy in WiFi Localization With Plausible Dummy Locations
IEEE Transactions on Vehicular Technology, 2020Benefiting from the development of wireless communication, WiFi localization plays a vital role in various mobile applications. However, users’ locations are breached by untrusted localization servers, thus disclosing users’ location privacy and other sensitive personal information.
Ping Zhao 0001 +4 more
openaire +1 more source
Protection of Location Privacy using Dummies for Location-based Services
21st International Conference on Data Engineering Workshops (ICDEW'05), 2005Recently, highly accurate positioning devices enable us to provide various types of location-based services. On the other hand, because position data obtained by such devices include deeply personal information, protection of location privacy is one of the most significant issues of location-based services.
Hidetoshi Kido +2 more
openaire +1 more source