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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
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FADBM: Frequency-Aware Dummy-Based Method in Long-Term Location Privacy Protection [PDF]
, 2019 With the rapid usage of location-based services (LBSs), protection of location privacy has become a significant concern. Existing dummy-based methods mainly consider generating dummies in continuous queries, which neglects the fact that the user would ...
Xutong Jiang, Hao Wang, Wanchun Dou
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A location model with an endogenous dummy variable
Economics Letters, 2020Abstract In this note, we consider a location model with an unobserved endogenous dummy variable without regressors and without instrumental variables. We show that it is possible to estimate the location parameter under regularity assumptions. One of these assumptions is a symmetry assumption on the error.
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Advanced Security Methods for Dummy Location-Based Servic
2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2018Convenience is a main concept applied towards the advancement of today’s technology. Convenient services such as Location Based services (LBS) collect data based on a user’s location. This gathered information may seem invasive to many. To others it may be a proper way to enhance user experience such as GPS, social media applications, games, and other ...
Anthony Cafaro +4 more
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Dummy Generation-Based Privacy Preservation for Location-Based Services
Proceedings of the 21st International Conference on Distributed Computing and Networking, 2020Location-Based Services (LBS) are a type of applications, which requires user's location information as input in providing useful services [4]. Google Maps (Online Navigation Applications), Foursquare (Geo-Social Network), Strava (Fitness Applications), etc. are some of the examples of LBS applications.
Dilay Parmar, Udai Pratap Rao
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Another dummy generation technique in location-based services
2016 International Conference on Big Data and Smart Computing (BigComp), 2016With the proliferation of mobile devices, many users now take advantage of location-based services that use their current position. However, careful consideration should be made when sending one's location to another as the location often includes personal attributes such as home address and reveals private information such as health or religion.
Hyo Jin Do +3 more
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An Improved Dummy Generation Approach for Enhancing User Location Privacy
2021Location-based services (LBS), which provide personalized and timely information, entail privacy concerns such as unwanted leak of current user locations to potential stalkers. Existing works have proposed dummy generation techniques by creating a cloaking region (CR) such that the user’s location is at a fixed distance from the center of CR. Hence, if
Shadaab Siddiqie +2 more
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Privacy‐preserving enhanced dummy‐generation technique for location‐based services
Concurrency and Computation: Practice and Experience, 2022SummaryLocation‐based services (LBS) has become an intrinsic part of our everyday life. However, the flexibility and convenience provided by LBS are at the cost of user privacy since untrusted LBS server can leak private information of users. To overcome the privacy issues observed in LBS, a novel dummy‐generation based privacy preservation technique ...
Dilay Parmar, Udai Pratap Rao
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User Location Anonymization Method for Wide Distribution of Dummies
2013Advances in GPS (global positioning system) technologies have led to a variety of services utilizing the user’s location becoming available. Since location information may reveal private information, preserving location privacy has become a significant issue. To preserve this privacy, we have proposed a user location anonymization method that generates
Ryo Kato +5 more
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Efficient dummy generation for considering obstacles and protecting user location
Concurrency and Computation: Practice and Experience, 2019SummaryTo receive location‐based services (LBS), users must disclose their locations and queries to the LBS server, which can expose the user's identity, location, and other information. Recently, techniques for protecting user privacy using dummies have been researched. However, many factors, such as the distance between the obstacles and the dummies,
Doohee Song +3 more
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