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Bob-Tree: An Efficient B + -Tree Based Index Structure for Geographic-Aware Obfuscation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6591))

Abstract

The privacy protection of personal location information increasingly gains special attention in the field of location-based services, and obfuscation is the most popular technique aiming at protecting this sensitive information. However, all of the conventional obfuscation techniques are geometry-based and separated from the database level. Thus, the query processing has two time-consuming phases due to the number of disk accesses required to retrieve the user’s exact location, and the location obfuscation. Also, since these techniques are geometry-based, they cannot assure location privacy when the adversary has knowledge about the geography of the obfuscated region. We address these problems by proposing Bob-tree, an index structure that is based on Bdual-tree and contains geographic-aware information on its nodes. Experiments show that Bob-tree provides a significant improvement over the algorithm separated from the database level for query processing time and location privacy protection.

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To, Q.C., Dang, T.K., Küng, J. (2011). Bob-Tree: An Efficient B + -Tree Based Index Structure for Geographic-Aware Obfuscation. In: Nguyen, N.T., Kim, CG., Janiak, A. (eds) Intelligent Information and Database Systems. ACIIDS 2011. Lecture Notes in Computer Science(), vol 6591. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20039-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-20039-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20038-0

  • Online ISBN: 978-3-642-20039-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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