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Privacy preserving data access scheme for IoT devices

机译:物联网设备的隐私保护数据访问方案

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摘要

Attribute-based encryption schemes provide read access to data based on users' attributes. In these schemes, user privacy is compromised as the access policies are visible. This privacy issue has been addressed in literature by enabling the data owner to obfuscate the policy in a setting where a single authority generates decryption keys. However, a single authority can figure out the hidden access policy which violates user privacy. We present PPDAS, a scheme which overcomes these limitations and makes two contributions. Firstly, we present a mechanism which supports fine-grained read and write operations in a setting where decryption keys are generated by multiple attribute authorities, and the access policy is hidden from all unauthorized entities including the attribute authorities. Our scheme is also accompanied with a user revocation mechanism. Secondly, we show that it is possible to adapt the scheme for accessing data through resource-constrained devices such as smart watches and IoT devices through extensive experimental evaluations.
机译:基于属性的加密方案提供基于用户属性的数据读取访问。在这些方案中,由于访问策略可见,因此损害了用户隐私。通过使数据所有者能够在单个机构生成解密密钥的环境中混淆策略,可以解决文献中的隐私问题。但是,单个机构可以找出隐藏的访问策略,这会侵犯用户隐私。我们提出了PPDAS,该方案克服了这些限制并做出了两个贡献。首先,我们提出了一种机制,该机制在由多个属性机构生成解密密钥,并且对所有未经授权的实体(包括属性机构)都隐藏了访问策略的情况下,支持细粒度的读写操作。我们的方案还伴随着用户撤销机制。其次,我们表明,通过广泛的实验评估,可以通过资源受限的设备(例如智能手表和IoT设备)来修改用于访问数据的方案。

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