Updates on sorting of fully homomorphic encrypted data

Emmadi, Nitesh, Gauravaram, Praveen, Narumanchi, Harika, & Syed, Habeeb (2015) Updates on sorting of fully homomorphic encrypted data. In 8th IEEE International Conference on Cloud Computing, June 27 - July 2, 2015, New York, USA. (In Press)

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Abstract

In this paper, we show implementation results of various algorithms that sort data encrypted with Fully Homomorphic Encryption scheme based on Integers. We analyze the complexities of sorting algorithms over encrypted data by considering Bubble Sort, Insertion Sort, Bitonic Sort and Odd-Even Merge sort. Our complexity analysis together with implementation results show that Odd-Even Merge Sort has better performance than the other sorting techniques. We observe that complexity of sorting in homomorphic domain will always have worst case complexity independent of the nature of input. In addition, we show that combining different sorting algorithms to sort encrypted data does not give any performance gain when compared to the application of sorting algorithms individually.

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ID Code: 88895
Item Type: Conference Paper
Refereed: Yes
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: The authors
Deposited On: 08 Oct 2015 05:25
Last Modified: 21 Mar 2016 10:30

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