Abstract
Outsourcing database is becoming a trend for spatial data owners to reduce the cost of managing and maintaining the database. However, the most important challenge in database outsourcing is how to meet privacy requirements and guarantee the integrity of the query result as well. To carry on both privacy and integrity for outsourced spatial data, we propose a spatial transformation scheme that makes use of shearing transformation with rotation shifting. From the performance evaluation, we show that our scheme has outstanding performance against different kinds of attack models and efficiently handles the query integrity of the query result sets.
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Kim, HI., Youn, DN., Chang, JW. (2014). A Spatial Transformation Scheme for Enhancing Privacy and Integrity of Outsourced Databases. In: Park, J., Pan, Y., Kim, CS., Yang, Y. (eds) Future Information Technology. Lecture Notes in Electrical Engineering, vol 309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55038-6_31
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DOI: https://doi.org/10.1007/978-3-642-55038-6_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-55037-9
Online ISBN: 978-3-642-55038-6
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