Updates on Sorting of Fully Homomorphic Encrypted Data

Nitesh Emmadi, Praveen Gauravaram, Harika Narumanchi, H. Syed
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引用次数: 19

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.
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关于全同态加密数据排序的更新
在本文中,我们展示了各种算法的实现结果,这些算法对基于整数的完全ho - momomorphic加密方案加密的数据进行排序。本文从冒泡排序、插入排序、双元排序和奇偶归并排序四个方面分析了加密数据排序算法的复杂性。我们的复杂度分析和实现结果表明,奇偶归并排序比其他排序技术具有更好的性能。我们观察到,在同态域的排序复杂度总是具有与输入性质无关的最坏情况复杂度。此外,我们还表明,与单独使用排序算法相比,组合使用不同的排序算法对加密数据进行排序不会带来任何性能提升。
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