Title: Distributed privacy preserving technology in dynamic networks

Authors: Zhuolin Li; Xiaolin Zhang; Haochen Yuan; Yongping Wang; Jian Li

Addresses: School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China ' School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China ' School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China ' School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China ' School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China

Abstract: With the development of information technology, large-scale social network graph data have been produced and released to provide data analysis for scientific research and business structures, while traditional network privacy protection technology does not meet the actual requirements. In this paper, we address the privacy risks of link disclosure in sequential release of a dynamic network. To prevent privacy breaches, we proposed the privacy model k^m - number of mutual friend, where k indicates the privacy level and m is a time period that an adversary can monitor a victim to collect the attack knowledge. We present a distributed algorithm to generate releases by adding nodes in parallel. Further, in order to improve availability of anonymous graphs, distributed greedy merge noise node algorithm (DGMNNA) is designed to reduce the number of nodes added under the premise of satisfying the anonymous model. The experimental results show that the proposed algorithm can efficiently handle large-scale social network data while ensuring the availability of anonymous data.

Keywords: dynamic; large scale graph; link disclosure; distributed; anonymisation; availability.

DOI: 10.1504/IJHPCN.2019.106115

International Journal of High Performance Computing and Networking, 2019 Vol.15 No.3/4, pp.223 - 232

Received: 27 Sep 2018
Accepted: 21 Aug 2019
Published online: 30 Mar 2020 *

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