论文标题

物联网删除:实施可验证的物联网数据

IoT Expunge: Implementing Verifiable Retention of IoT Data

论文作者

Panwar, Nisha, Sharma, Shantanu, Gupta, Peeyush, Ghosh, Dhrubajyoti, Mehrotra, Sharad, Venkatasubramanian, Nalini

论文摘要

物联网(IoT)系统的越来越多的部署旨在通过提供多种增值服务来缓解最终用户的日常生活。但是,物联网系统可能会捕获和存储有关个人在云中的敏感个人数据,从而危害用户私人。新兴的立法,例如欧洲的加利福尼亚州的Caloppa和GDPR,支持强大的隐私法,以保护个人在云中的数据。这样的法律涉及严格执行数据保留政策。本文提出了一个框架,标题为“物联网”,该框架允许传感器数据提供商将数据存储在云平台中,以确保执行保留策略。此外,云提供商还可以证明其遵守保留政策。现实世界中智能建筑测试床上的实验结果表明,物联网释放给用户最小的开销,以验证数据,以防止数据保留策略。

The growing deployment of Internet of Things (IoT) systems aims to ease the daily life of end-users by providing several value-added services. However, IoT systems may capture and store sensitive, personal data about individuals in the cloud, thereby jeopardizing user-privacy. Emerging legislation, such as California's CalOPPA and GDPR in Europe, support strong privacy laws to protect an individual's data in the cloud. One such law relates to strict enforcement of data retention policies. This paper proposes a framework, entitled IoT Expunge that allows sensor data providers to store the data in cloud platforms that will ensure enforcement of retention policies. Additionally, the cloud provider produces verifiable proofs of its adherence to the retention policies. Experimental results on a real-world smart building testbed show that IoT Expunge imposes minimal overheads to the user to verify the data against data retention policies.

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