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Access and privacy control enforcement in RFID middleware systems: Proposal and implementation on the fosstrak platform

机译:RFID中间件系统中的访问和隐私控制实施:在fosstrak平台上的建议和实施

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Radio Frequency IDentification (RFID) technology offers a new way of automating the identification and storing of information in RFID tags. The emerging opportunities for the use of RFID technology in human centric applications like monitoring and indoor guidance systems indicate how important this topic is in term of privacy. Holding privacy issues from the early stages of RFID data collection helps to master the data view before translating it into business events and storing it in databases. An RFID middleware is the entity that sits between tag readers and database applications. It is in charge of collecting, filtering and aggregating the requested events from heterogeneous RFID environments. Thus, the system, at this point, is likely to suffer from parameter manipulation and eavesdropping, raising privacy concerns. In this paper, we propose an access and privacy controller module that adds a security level to the RFID middleware standardized by the EPCglobal consortium. We provide a privacy policy-driven model using some enhanced contextual concepts of the extended Role Based Access Control model, namely the purpose, the accuracy and the consent principles. We also use the provisional context to model security rules whose activation depends on the history of previously performed actions. To show the feasibility of our privacy enforcement model, we first provide a proof-of-concept prototype integrated into the middleware of the Fosstrak platform, then evaluate the performance of the integrated module in terms of execution time.
机译:射频识别(RFID)技术提供了一种自动识别和存储RFID标签信息的新方法。在以人为中心的应用(如监视和室内导航系统)中使用RFID技术的新兴机会表明,就隐私而言,这一主题的重要性。从RFID数据收集的早期阶段解决隐私问题有助于在将数据视图转换为业务事件并将其存储在数据库中之前掌握数据视图。 RFID中间件是位于标签读取器和数据库应用程序之间的实体。它负责收集,过滤和汇总来自异构RFID环境的请求事件。因此,系统此时可能会遭受参数操纵和窃听,从而引发隐私问题。在本文中,我们提出了一种访问和隐私控制器模块,该模块为EPCglobal联盟标准化的RFID中间件添加了安全级别。我们使用扩展的基于角色的访问控制模型的一些增强的上下文概念(即目的,准确性和同意原则)提供了一个隐私策略驱动的模型。我们还使用临时上下文对安全性规则进行建模,这些安全性规则的激活取决于先前执行的操作的历史记录。为了展示我们的隐私实施模型的可行性,我们首先提供了一个概念证明原型,该原型已集成到Fosstrak平台的中间件中,然后根据执行时间评估了集成模块的性能。

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