摘要
针对移动社交网络中用户通过社交平台分享位置信息时存在可信社交关系和不可信陌生人的攻击等问题,提出了一种面向社交关系的位置隐私保护模型。该模型通过对社交关系进行分类和对位置隐私进行分级,让不同级别的用户看到不同精度的位置信息,从而实现对位置的隐私保护。其中,对社交关系的分类包括对用户的好友类别按亲密度分级和对陌生人类别按信任模型计算值分级。相较于L-intimacy模型,该模型具有较低的时间复杂度和隐私泄漏率,且能有效保护用户位置隐私。
This paper proposes a location privacy protection model based on social relationships, for. trusted social relations and untrusted strangers when sharing location information through social platform in the mobile social networks . The model classified social relationships and location privacy for different levels of users seeing different precision location in- formation, so as to protect the position privacy. Classification of social relationships includes the user＇s friends classified by intimacy and strangers classified by trust model . Compared with L-intimacy model, this model has lower time complexity and privacy leakage rates, and can well protect the user＇s location privacy.
出处
《软件导刊》
2016年第1期155-158,共4页
Software Guide
关键词
移动社交网络
社交关系
隐私保护
Mobile Social Networks
Social Relationships
Privacy Protection
