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Privacy breach of social relation from location based mobile applications

机译：基于位置的移动应用程序侵犯了社交关系的隐私

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In today's era everyone has a smart phone and with increase use of smart phone applications available in market, raise the risk of leaking crucial information about the user and increasing the risk of privacy breach. In this paper, we are analyzing the social relationship leakage of user through such applications which uses phones Global Positioning System (GPS) data. We specifically worked on latitude-longitude (lat-long) pairs and the friend's network in popular social networking site (Facebook) to identify the social relationship between users. An existing application Mobishare has been used to conduct an experimental study on 55 users. On the basis of their location information obtain by the Mobishare application and social network's friend-list obtain from the Facebook, we calculated the percentage of togetherness between the users for different span of time, a high percentage of togetherness means they are closely related. Through this, we were able to identify the social relation between two users without his/her consent just using the GPS data that leads the privacy leakage.
机译：在当今时代，每个人都拥有智能手机，并且随着市场上智能手机应用程序的使用增加，增加了泄露有关用户的重要信息的风险，并增加了侵犯隐私的风险。在本文中，我们正在通过使用手机全球定位系统（GPS）数据的此类应用程序分析用户的社会关系泄漏。我们专门研究了流行的社交网站（Facebook）中的纬度-经度（lat-long）对和朋友的网络，以识别用户之间的社交关系。现有的Mobishare应用程序已用于对55位用户进行实验研究。根据Mobishare应用程序获取的位置信息以及从Facebook获取的社交网络的好友列表，我们计算了不同时间段内用户之间的团结百分比，其中较高的团结意味着他们密切相关。这样，我们仅使用导致隐私泄露的GPS数据即可识别两个用户之间的社交关系，而无需征得他/她的同意。

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