Efficient Privacy-Preserving Range Queries Over Encrypted Data in Cloud Computing
Document Type
Conference Proceeding
Publication Date
12-1-2013
Abstract
With the growing popularity of data and service outsourcing, where the data resides on remote servers in encrypted form, there remain open questions about what kind of query operations can be performed on the encrypted data. In this paper, we focus on one such important query operation, namely range query. One of the basic security primitive that can be used to evaluate range queries is secure comparison of encrypted integers. However, the existing secure comparison protocols strongly rely on the encrypted bit-wise representations rather than on pure encrypted integers. Therefore, in this paper, we first propose an efficient method for converting an encrypted integer z into encryptions of the individual bits of z. We then utilize the proposed security primitive to construct a new protocol for secure evaluation of range queries in the cloud computing environment. Furthermore, we empirically show the efficiency gains of using our security primitive over existing method under the range query application.
DOI
10.1109/CLOUD.2013.65
Montclair State University Digital Commons Citation
Samanthula, Bharath Kumar and Jiang, Wei, "Efficient Privacy-Preserving Range Queries Over Encrypted Data in Cloud Computing" (2013). Department of Computer Science Faculty Scholarship and Creative Works. 248.
https://digitalcommons.montclair.edu/compusci-facpubs/248