Title: Fast computation method for privacy-preserving data aggregation protocol

Authors: Yuan Jiangjun; Wang Jie

Addresses: School of Shangmao Lvyou, Hangzhou Vocational & Technical College, Hangzhou, 310018, China ' School of Shangmao, Zhejiang Technical Institute of Economics, Hangzhou, 310018, China

Abstract: Recent years have seen the rapid improvement of smart terminals and wireless networks, and a lot of smart applications have come to the fore. Taking advantages of fast developed smart terminals, more and more complicated sensing tasks can be taken over and finished. Data aggregation is an important application which is required by many tasks. The sensing devices in mobile sensing systems get time-series data, which can be used for supply forecast and leakage detection. As people nowadays pay more attention on privacy issues, to let people use today's data aggregation application, the first task is to solve their privacy concerns. Here, we propose a fast encryption/decryption mechanism for addition operations on keyed hash functions, based on multi-threads computation and parallel computation on multi-cores architecture. The advanced protocol presented by us works better for large systems and requires less time cost for both mobile sensors and aggregator. The experiments show the performance benefits of the presented protocol.

Keywords: privacy; mobile sensing; multi-threads; untrusted aggregator.

DOI: 10.1504/IJWMC.2018.094639

International Journal of Wireless and Mobile Computing, 2018 Vol.15 No.1, pp.47 - 51

Received: 29 Dec 2017
Accepted: 25 Mar 2018
Published online: 10 Sep 2018 *

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