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• W2892087296 abstract "As the rapid development of the IoT infrastructure and searching technologies, the potential of to-be-located of IoT user has caused the privacy concerns. Although the privacy issue of trajectory privacy has gain much attention in the mobile Internet and the IoT researches, these efforts are also in some degree omitted some high level features of the trajectory information. In this paper, we introduce a type of trajectory privacy attack named “Velocity Inference Attack”, and we shows that the preservation schemes which left out to protect the velocity information will fail to resist this attack. Then, a velocity-aware trajectory privacy preservation scheme named VAT was propose. Experimental result shows the effectiveness of VAT while against the velocity inference attack." @default.
• W2892087296 created "2018-09-27" @default.
• W2892087296 creator A5037817436 @default.
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• W2892087296 date "2018-01-01" @default.
• W2892087296 modified "2023-09-24" @default.
• W2892087296 title "VAT: A Velocity-Aware Trajectory Privacy Preservation Scheme for IoT Searching" @default.
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• W2892087296 doi "https://doi.org/10.1007/978-3-030-00009-7_33" @default.
• W2892087296 hasPublicationYear "2018" @default.
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