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首页> 外文期刊>ACM Transactions on Internet Technology >Exploiting Contextual Information in Attacking Set-Generalized Transactions
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Exploiting Contextual Information in Attacking Set-Generalized Transactions

机译：利用攻击集通用事务的上下文信息

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摘要

Transactions are records that contain a set of items about individuals. For example, items browsed by a customer when shopping online form a transaction. Today, many activities are carried out on the Internet, resulting in a large amount of transaction data being collected. Such data are often shared and analyzed to improve business and services, but they also contain private information about individuals that must be protected. Techniques have been proposed to sanitize transaction data before their release, and set-based generalization is one such method. In this article, we study how well set-based generalization can protect transactions. We propose methods to attack set-generalized transactions by exploiting contextual information that is available within the released data. Our results show that set-based generalization may not provide adequate protection for transactions, and up to 70% of the items added into the transactions during generalization to obfuscate original data can be detected by our methods with a precision over 80%.
机译：事务是包含有关个人项目集的记录。例如，客户在线购物时由客户浏览的项目表达事务。今天，许多活动都在互联网上进行，导致正在收集大量的交易数据。这些数据通常是共享和分析以改善业务和服务，但它们还包含有关必须受保护的个人的私人信息。已经提出了在释放之前消毒交易数据的技术，并且基于集的泛化是一种这样的方法。在本文中，我们研究了基于集合的概念如何保护交易。我们提出了通过利用释放数据中可用的上下文信息来攻击集通用交易的方法。我们的结果表明，基于集合的概括可能无法为交易提供足够的保护，并且可以通过我们的方法检测到在泛化以制止原始数据的交易中添加到交易中的70％的项目可以检测到超过80％的精度。

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