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Faking contextual data for fun, profit, and privacy

机译:伪造上下文数据以获得乐趣,利润和隐私

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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.
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。

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