社交网络中的隐私保护技术综述

    Review of Privacy-preserving Technologies in Online Social Networks

    • 摘要: 随着社交网络的日益普及,社交网络中的数据以及数据分析结果被广泛应用,数据的广泛共享、深度挖掘和分析给个人隐私的泄露带来前所未有的挑战。为了解决社交网络中的隐私问题,各种隐私保护技术以及实现数据分享和隐私保护之间平衡的技术被提出。首先,简要梳理社交网络和隐私保护技术;接着,分别面向信息内容、图结构以及同时面向信息内容和图结构的隐私保护技术进行综述;然后,对社交网络中的隐私保护技术的评估指标进行综述,包括抗攻击和威胁能力、隐私效用等;最后,讨论了未来研究面临的挑战以及研究方向。

       

      Abstract: With the increasing popularity of social networks, user data as well as analysis results from social networks have become extensively utilized and the extensive sharing, deep mining and analysis of data have brought about unprecedented challenges regarding privacy breaches. To tackle privacy issues in social networks, researchers have proposed a number of privacy-preserving techniques as well as techniques to achieve a good balance between data sharing and privacy protection. First,social networks and privacy-preserving techniques were briefly reviewed. Subsequently, privacy-preserving technologies oriented towards information content, graph structure, and both information content and graph structure, were reviewed respectively. Following this, metrics for evaluating privacy-preserving technologies in social networks were reviewed, including attack and threat resistance, and privacy utility. Finally, challenges for future work and future research directions were also discussed.

       

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