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Information Pricing: A Utility Based Pricing Mechanism

机译:信息定价:基于公用事业的定价机制

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Big data is the biggest asset today, for organizations to amass and leverage to improve on services and profits. Knowing this, data brokers have excelled in the task of collecting information about internet users from a variety of sources, both online and offline, and then sell this information to interested parties. This robs the users of the monetizing potential of their information. In this paper, we have put forth our idea for users to monetize their information and at the same time, preserve their privacy by obfuscating their information. Once this is done, the utility of the information is obtained by comparing the cumulative distribution functions (CDF) of the data before and after obfuscation. This would allow the buyers in the information market to obtain a fair estimate of the quality of information that they would be purchasing from the users. In our opinion, this is a fair and balanced method that caters to the needs to all the stakeholders involved in the information market scenario.
机译:大数据是最大的财富的今天,为组织聚敛和利用,以改善服务和利润。知道了这一点,数据经纪人有出色表现,从多种来源,包括在线和离线收集有关互联网用户信息的任务,然后出售信息感兴趣的人。这剥夺了其信息的潜在的货币化的用户。在本文中,我们提出我们的想法让用户赚钱的信息,并在同一时间,通过混淆他们的信息保护他们的隐私。一旦做到这一点,是通过之前和模糊处理之后比较数据的累积分布函数(CDF)中获得的信息的工具。这将允许在信息市场中的购房者获得的信息质量的一个公平的估计,他们会从用户购买。在我们看来,这是一个公平和平衡的方法,满足需要所有参与信息市场情况的利益相关者。

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