DocumentCode
3756024
Title
Updates on Sorting of Fully Homomorphic Encrypted Data
Author
Nitesh Emmadi;Praveen Gauravaram;Harika Narumanchi;Habeeb Syed
Author_Institution
TCS Innovation Labs., India
fYear
2015
Firstpage
19
Lastpage
24
Abstract
In this paper, we show implementation results of various algorithms that sort data encrypted with Fully Ho-momorphic 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.
Keywords
"Sorting","Encryption","Complexity theory","Arrays","Cloud computing"
Publisher
ieee
Conference_Titel
Cloud Computing Research and Innovation (ICCCRI), 2015 International Conference on
Type
conf
DOI
10.1109/ICCCRI.2015.28
Filename
7421890
Link To Document