基于节点重构的社交网络的隐私保护技术探讨

发布时间：2018-06-17 14:50

本文选题：社交网络 + 身份隐私　；参考：《计算机工程与应用》2017年11期

【摘要】：互联网的发展使社交网络成为人们聊天、交友、发表言论的重要平台。在社交网络中会存在大量信息,其中涉及到个人身份,社交结构,属性联系等信息就构成了隐私信息,因此需对隐私信息进行有效的保护。分析发现,现有部分基于结构扰动的社交网络隐私保护方案存在对网络结构扰动大、信息丢失率高等弊端。为此,提出了一种基于节点重构的隐私保护方案,重点解决了边缘节点与受保护节点的相似性分析与选取,边缘节点的同构化改造,以及最优化扰动原隐私节点结构等问题。实验结果表明提出的方法在有效保护社交网络隐私的同时,还能确保信息的高可用性。
[Abstract]:The development of the Internet has made social networks an important platform for people to chat, make friends, and express their opinions. There are a lot of information in social network, including personal identity, social structure, attribute connection and so on, which constitute privacy information, so it is necessary to protect privacy information effectively. It is found that the existing privacy protection schemes based on structural perturbation have some disadvantages such as large disturbance of network structure and high rate of information loss. Therefore, a privacy protection scheme based on node reconstruction is proposed, which focuses on solving the similarity analysis and selection of edge nodes and protected nodes, the isomorphic transformation of edge nodes, and the optimization of disturbed original privacy node structure. Experimental results show that the proposed method not only effectively protects the privacy of social networks, but also ensures the high availability of information.
【作者单位】：合肥工业大学计算机与信息学院;
【分类号】：TP309;TP393.09

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