基于社交网络好友攻击的位置隐私保护模型

随着无线网络的发展,移动社交网络用户发布其所在的地理位置信息时,如果包含敏感地理位置会导致用户隐私受到攻击。现有的位置隐私保护方法都是对用户发布的位置进行泛化处理,以牺牲用户的服务质量为代价,且大部分都是将攻击者定位在LBS服务商,没有考虑到统一对社交网络中的好友根据其可靠程度的不同提供不同准确度的地理位置信息。针对此问题,提出了基于社交网络好友亲密度分级的隐私保护模型L-intimacy,用来防止好友攻击者的攻击。理论分析和实验结果表明,与加入到Latitude服务的Google Maps相比,该方法既能保护移动社交网络用户的相关隐私,同时又具有较小的信息损失度。

A model for protecting location privacy against attacks from friends in SNS

As the development of wireless network, more and more mobile social networking users publish their geographic locations which contain sensitive geographic location information that may lead their privacy under attack. Most existing privacy protection methods generalize  geographic location at the expense of quality of service, position attackers in LBS service, and they don''t take account of the reliability degree among social network friends when location information is provided. To solve this problem, we design a privacy protection model, named L intimacy, based on social network friends intimacy to prevent friend attackers. Theoretical analysis and experimental results show that comparied with Google Maps which is added to the Latitude services, the proposed algorithm provides privacy protection with less information loss.