Some obfuscation techniques may fail to protect user privacy because of the moving context as well as the background knowledge of adversaries. In this paper, we propose a novel scheme to distinctly protect user privacy not only from user position but also from user trajectory. Furthermore, we present kURalgorithm, which is context-aware and can be employed as either an independent method or a supportive technique, to give the high-level user privacy protection against privacy disclosure and privacy leak. Last but not least, we analyse other potential privacy problems which usually emerge as outliers and show how well our proposed solution overcomes these scenarios.
CITATION STYLE
Phan, T. N., Kung, J., & Dang, T. K. (2015). KUR-algorithm: From position to trajectory privacy protection in location-based applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9262, pp. 82–89). Springer Verlag. https://doi.org/10.1007/978-3-319-22852-5_8
Mendeley helps you to discover research relevant for your work.