Privacy and Protection for Location Based Services

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Improving 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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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...

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Location Diversity: Enhanced Privacy Protection in Location Based Services

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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Thwarting location privacy protection in location-based social discovery services

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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Protection of users’ privacy has been a central issue for location-based services (LBSs). In this paper, we classify two kinds of privacy protection requirements in LBS: location anonymity and identifier anonymity. While the location cloaking technique under the k-anonymity model can provide a good protection of users’ privacy, it reduces the resolution of location information and, hence, may d...

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ژورنال

عنوان ژورنال: International Journal of Advanced Engineering Research and Science

سال: 2016

ISSN: 2349-6495,2456-1908

DOI: 10.22161/ijaers/3.12.41