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首页> 外文会议>Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining >Joining user profiles across online social networks: From the perspective of an adversary
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Joining user profiles across online social networks: From the perspective of an adversary

机译：跨在线社交网络加入用户个人资料：从对手的角度

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摘要

Being the anchor points for building social relationships in the cyberspace, online social networks (OSNs) play an integral part of modern peoples life. Since different OSNs are designed to address specific social needs, people take part in multiple OSNs to cover different facets of their life. While the fragmented pieces of information about a user in each OSN may be of limited use, serious privacy issues arise if a sophisticated adversary pieces information together from multiple OSNs. To this end, we undertake the role of such an adversary and demonstrate the possibility of “splicing” user profiles across multiple OSNs and present associated security risks to users. In doing so, we develop a scalable and systematic profile joining scheme, Splicer, that focuses on various aspects of profile attributes by simultaneously performing exact, quasi-perfect and partial matches between pairs of profiles. From our evaluations on three real OSN data, Splicer not only handles large-scale OSN profiles efficiently by saving 87% computation time compared to all-pair profile comparisons, but also far exceeds the recall of generic distance measure based approach at the same precision level by 33%. Finally, we quantify the amount of information “lift” attributed to joining of OSNs, where on average 22% additional profile attributes can be added to 24% of users.
机译：在线社交网络（OSN）作为在网络空间建立社交关系的锚点，在现代人们的生活中起着不可或缺的作用。由于不同的OSN旨在满足特定的社会需求，因此人们参与了多个OSN，以涵盖其生活的不同方面。尽管每个OSN中有关用户的零碎信息可能会受到限制使用，但如果复杂的对手将多个OSN中的信息整合在一起，则会出现严重的隐私问题。为此，我们承担着这样的对手的角色，并演示了将用户配置文件“拼合”到多个OSN中的可能性，并向用户提出了相关的安全风险。为此，我们开发了可扩展且系统的概要文件连接方案Splicer，该方案通过同时在概要文件对之间执行精确，准完美和部分匹配来关注概要文件属性的各个方面。根据我们对三个真实OSN数据的评估，Splicer不仅比全对概要文件比较节省了87％的计算时间，从而有效地处理了大规模OSN概要文件，而且还远远超过了在相同精度水平上基于通用距离度量的方法的召回率减少了33％。最后，我们量化了归因于OSN的信息“提升”的数量，其中平均22％的附加配置文件属性可以添加到24％的用户。

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