trioandmore.blogg.se

Anonymoys trminal
Anonymoys trminal





anonymoys trminal

Trajectory Privacy Protection Method Based on Location Obfuscation. Multiple Mix Zones De-correlation Trajectory Privacy Model for Road Network. Independent Mix Zone for Location Privacy in Vehicular Networks. IEEE Transactions on Network and Service Management, 2019,16(1):264-278. Protecting Trajectory from Semantic Attack Considering k-Anonymity,l-Diversity,and t-Closeness. K-VARP:K-anonymity for Varied Data Streams Via Partitioning. Probabily-Based Location Anonymity Algorithm. Towards Privacy Preservation for "Check-In" Services in Location-Based Social Networks.

anonymoys trminal

A Modification of the Lloyd Algorithm for K-Anonymous Quantization. REBOLLO-MONEDERO D, FORNE J, PALLARES E, et al. The Method of Trajectory Privacy Preserving Based on Agent Forwarding Mechanism in Mobile Social Networks.

anonymoys trminal

ZHANG Shaobo, BHUIYAN M Z A, LIU Qin, et al. The K-Anonymity and L-Diversity Approaches for Privacy Preservation in Social Networks Against Neighborhood Attacks. International Journal of Communication Systems, 2018,31(1):e3437. Pseudonym Changing Strategy with Multiple Mix Zones for Trajectory Privacy Protection in Road Networks. Journal of Visual Communication and Image Representation, 2019,59:76-83. A K-Anonymous Clustering Algorithm Based on the Analytic Hierarchy Process. IEEE Transactions on Mobile Computer, 2008,7(1):1-18. Protecting Location Privacy with Personalized k-Anonymity:Architecture and Algorithms. From Location to Location Pattern Privacy in Location-Based Services. Journal of Parallel and Distributed Computing, 2019,123:215-222.ĪBUL O, BAYRAK C. A Privacy Preserving Location Service for Cloud-of-Things System. YUAN T, KALEEMULLAH M M, RODHAAN M A, et al. IEEE Transactions on Intelligent Transportation Systems, 2019,20(2):760-776. A Survey on Recent Advances in Vehicular Network Security,Trust,and Privacy. Key words: mobile terminal, location privacy, K-anonymity, oblivious transfer In view of the security and effectiveness of the current location privacy protection scheme,we propose a K-anonymous location privacy protection scheme for the mobile terminal.In this scheme,2 K valid dummy locations are obtained from the cloaking regions,and then K-1 better locations are selected from them according to the position entropy,so as to achieve a better anonymous effect.The secure and efficient oblivious transfer protocol is adopted,which avoids the dependence on the trusted anonymous center,improves the scheme's efficiency,and realizes the requirement of querying multiple interest points at one time.Security analysis shows that the scheme not only satisfies the unforgeability,but also resists the playback attack.Meanwhile,simulation indicates that the scheme can improve the execution efficiency,enhance the level of privacy protection,and reduce the communication overhead.







Anonymoys trminal