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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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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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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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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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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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An anonymous communication technique using dummies for location-based services
ICPS '05. Proceedings. International Conference on Pervasive Services, 2005., 2005Recently, highly accurate positioning devices enable us to provide various types of location-based services. On the other hand, because such position data include deeply personal information, the protection of location privacy is one of the most significant problems in location-based services.
Hidetoshi Kido +2 more
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A Dummy Location Generation Model for Location Privacy in Vehicular Ad hoc Networks
2020The vehicular ad hoc networks are designed to tackle the problems that occur due to the proliferation of vehicles in our society. However, most of its applications require the access to location of vehicles participating in the network and may lead to life-threatening situations.
Bhawna Chaudhary, Karan Singh
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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 ...
Hao Wang, Wanchun Dou
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Combining Spatial Cloaking and Dummy Generation for Location Privacy Preserving
2012Location privacy preserving is attracting more and more attentions with the wide use of accurate positioning devices. Two kinds of methods based on k-anonymity have been proposed for location privacy preserving. One is spatial cloaking and the other is dummy generation.
Nana Xu +5 more
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