How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market
How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market
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发表时间：
2017-05
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通讯作者：
Rachana Nget;Yang Cao;Masatoshi Yoshikawa
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作者：
Rachana Nget;Yang Cao;Masatoshi Yoshikawa
个人数据市场是一个平台，包括三个参与者：数据所有者（个人），数据购买者和做市商。提供个人数据的数据所有者将根据其隐私损失获得赔偿。数据购买者可以提交查询并根据其所需的准确性为结果付费。做市商在数据所有者和买家之间进行协调。该框架以前已经研究了基于差分隐私。然而，之前的研究假设数据所有者可以接受任何程度的隐私损失，数据购买者可以在不考虑财务预算的情况下进行交易。在本文中，我们提出了一个实用的个人数据交易框架，能够在金钱和隐私之间取得平衡。为了深入了解用户偏好，我们首先对人类对隐私的态度和对个人数据交易的兴趣进行了在线调查。其次，我们确定了个人数据市场的五个关键原则，这对设计合理的交易框架和定价机制至关重要。第三，我们提出了一个合理的个人数据交易框架，概述了数据如何交易。第四，我们提出了一个平衡的定价机制，计算查询价格的数据买家和赔偿数据所有者（其数据被利用）作为他们的隐私损失的函数。主要目的是确保双方的公平交易。最后，我们将进行一个实验，以评估我们提出的定价机制与其他先前提出的机制相比，输出。
A personal data market is a platform including three participants: data owners (individuals), data buyers and market maker. Data owners who provide personal data are compensated according to their privacy loss. Data buyers can submit a query and pay for the result according to their desired accuracy. Market maker coordinates between data owner and buyer. This framework has been previously studied based on differential privacy. However, the previous study assumes data owners can accept any level of privacy loss and data buyers can conduct the transaction without regard to the financial budget. In this paper, we propose a practical personal data trading framework that is able to strike a balance between money and privacy. In order to gain insights on user preferences, we first conducted an online survey on human attitude to- ward privacy and interest in personal data trading. Second, we identify the 5 key principles of personal data market, which is important for designing a reasonable trading frame- work and pricing mechanism. Third, we propose a reason- able trading framework for personal data which provides an overview of how the data is traded. Fourth, we propose a balanced pricing mechanism which computes the query price for data buyers and compensation for data owners (whose data are utilized) as a function of their privacy loss. The main goal is to ensure a fair trading for both parties. Finally, we will conduct an experiment to evaluate the output of our proposed pricing mechanism in comparison with other previously proposed mechanism.