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Faking Contextual Data for Fun, Profit, and Privacy

机译:为娱乐,利润和隐私伪造上下文数据

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The amount of contextual data collected, stored, mined, and shared is increasing exponentially. Street cameras, credit card transactions, chat and Twitter logs, e-mail, web site visits, phone logs and recordings, social networking sites, all are examples of data that persists in a manner not under individual control, leading some to declare the death of privacy. We argue here that the ability to generate convincing fake contextual data can be a basic tool in the fight to preserve privacy. One use for the technology is for an individual to make his actual data indistinguishable amongst a pile of false data.In this paper we consider two examples of contextual data, search engine query data and location data. We describe the current state of faking these types of data and our own efforts in this direction.
机译:收集,存储,挖掘和共享的上下文数据量呈指数增长。街道摄像头,信用卡交易,聊天和Twitter日志,电子邮件,网站访问,电话日志和录音,社交网站等都是数据的示例,这些数据以不受个人控制的方式持久存在,从而导致一些人宣布死亡隐私。我们在这里认为,生成令人信服的虚假上下文数据的能力可能是保护隐私的基本工具。该技术的一种用途是使个人的实际数据在一堆虚假数据中无法区分。 在本文中,我们考虑了上下文数据的两个示例,即搜索引擎查询数据和位置数据。我们描述了伪造这些类型数据的当前状态以及我们在此方向上的努力。

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