Near-Complete Privacy Protection: Cognitive Optimal Strategy in Location-Based Services
نویسندگان
چکیده
منابع مشابه
Location Depersonalization for Location Privacy Protection in Location-Based Services
A spatial region with K different footprints indicates that it has been visited by K different people. An adversary may be able to identify all these users, but will not know who was there at what time. This observation gives us a new direction to investigate location depersonalization in location-based services (LBSs). We propose to leverage users’ historical location samples, each being a foo...
متن کاملImproving Privacy Protection for Location Based Services
1 V. Kartheek Kumar Reddy, 2 Dr. A.P. Siva Kumar M.Tech,Ph.D 1 PG Scholar, Department of Computer Science & Engineering (Artificial Intelligence), JNTUA College of Engineering (Autonomous), Anantapuramu, AP, India 2 Assistant Professor, Department of Computer Science & Engineering, JNTUA College of Engineering (Autonomous), Anantapuramu, AP, India 1 [email protected] 2 SivaKumar.ap@g...
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Location-based Services are emerging as popular applications in pervasive computing. Spatial k-anonymity is used in Locationbased Services to protect privacy, by hiding the association of a specific query with a specific user. Unfortunately, this approach fails in many practical cases such as: (i) personalized services, where the user identity is required, or (ii) applications involving groups ...
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Location-based social discovery (LBSD) services enable users to discover their geographic neighborhoods to make new friends. Original LBSD services were designed to provide the exact distances to nearby users. It has been shown that it is easy to pinpoint any target user’s location by using trilateration based on the exact distances from three fake Global Positioning System locations to the tar...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2018
ISSN: 1877-0509
DOI: 10.1016/j.procs.2018.03.079