Privacy breach of social relation from location based mobile applications

Vartika Srivastava, Vinayak Naik, Anuradha Gupta
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引用次数: 3

Abstract

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.
基于位置的移动应用程序对社交关系的隐私侵犯
在当今时代,每个人都有智能手机,随着市场上智能手机应用程序的使用增加,增加了泄露用户关键信息的风险,增加了隐私泄露的风险。在本文中,我们分析了通过使用手机全球定位系统(GPS)数据的这类应用程序泄露用户的社会关系。我们专门研究了流行社交网站(Facebook)中的经纬度(纵横)对和朋友网络,以确定用户之间的社会关系。现有的应用程序Mobishare已被用于对55名用户进行实验研究。根据Mobishare应用程序获取的用户位置信息和从Facebook获取的社交网络好友列表,我们计算了不同时间跨度的用户之间的相聚百分比,相聚百分比高意味着他们关系密切。通过这种方法,我们可以在未经用户同意的情况下,利用导致隐私泄露的GPS数据,识别两个用户之间的社交关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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