An Advanced Collusion Attack against User Friendship Privacy in OSNs
An Advanced Collusion Attack against User Friendship Privacy in OSNs
复制标题
OSN 中针对用户友谊隐私的高级共谋攻击
DOI：
10.1109/compsac.2016.47
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Na Li
中科院分区：
文献类型：
--
作者：
Yuhong Liu;Na Li
在线社交网络（OSN）正在为人类用户提供与家人、朋友甚至陌生人交互的各种应用。其中一个应用程序，朋友搜索引擎，它允许公众查询个人用户的朋友列表，最近越来越流行。然而，如果没有适当的设计，这个应用程序可能会泄露用户的私人关系信息。在本文中，我们提出了一个先进的共谋攻击，受害者用户的友谊隐私设置可以通过一个精心设计的查询序列协调发起多个恶意请求者妥协。通过合成的社交网络数据集验证了所提出的共谋攻击的效果。此外，对这种高级共谋攻击的分析也将有利于未来设计更健壮的OSN隐私保护好友搜索引擎。
Online Social Networks (OSNs) are providing a variety of applications for human users to interact with families, friends and even strangers. One of such applications, friend search engine, which allows the general public to query individual users' friend list, is gaining popularity recently. However, without proper design, this application may disclose users' private relationship information. In this paper, we propose an advanced collusion attack, where a victim user's friendship privacy setting can be compromised through a carefully designed query sequence coordinately launched by multiple malicious requstors. The effect of the proposed collusion attack is validated through synthetic social network data sets. In addition, the analysis of such advanced collusion attacks will also benefit the future design of more robust privacy preserving friend search engine in OSNs.