Abstract
The frequent use of location query services in location-based services will come out a large amount of space-time data related to users. Attackers infer information of location or track based on these rich background knowledge. Therefore, aiming at the problem of trajectory privacy, the context adds instant traffic monitoring based on user behavior patterns, trajectory similarity and other background information. According to the idea of k anonymity, proposed a method combined with traffic condition to protect the trajectory privacy. First, the user randomly selects a time point of the real trajectory to rotate to generate dummy trajectory, and then repeat the above process on the real trajectory and dummy trajectory. Up to the generation of k − 1 dummy trajectory, and according to the actual road conditions and trajectory leakage probability, traversing dummy trajectory to adjust. Finally, it is further proved through experiments that the method will be more efficient and protect privacy well.
Highlights
In recent years, the mobile Internet has brought the development of information technology into a new era, has changed people’s traditional way of life, and has affected the medical, entertainment, finance, politics, education and other fields
Nology, mobile communication technology, internet technology and geographic information system (GIS) technology, and is the most frequently used service used by a mobile internet user
Based on the user behavior patterns and background information, this paper adds the consideration of the actual road conditions and puts forward the real-time traffic rotation k anonymous privacy protection method based on trajectory
Summary
The mobile Internet has brought the development of information technology into a new era, has changed people’s traditional way of life, and has affected the medical, entertainment, finance, politics, education and other fields. Trajectory privacy protection based on generalization method [6] [7] [8] is to generalize an exact location of each moment on an actual trajectory to an anonymous region and send it to an LSP. The periodic transformation of pseudonyms is used to cut off the correlation between the continuous location and the user, but its privacy protection depends on the number of trajectory in the same anonymous region. Trajectory privacy protection technology based on false trajectory perturbation method [15] [16] [17] [18] is to using TTP or P2P to. The researchers based on the above four privacy protection technologies, more from the user behavior patterns, geographical topology, continuous time position correlation. Number of history service requests in gird i number of history service requests in all girds (1)
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