IoT Expunge: Implementing Verifiable Retention of IoT Data

Nisha Panwar, Shantanu Sharma, Peeyush Gupta, Dhrubajyoti Ghosh, S. Mehrotra, N. Venkatasubramanian
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Abstract

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.
物联网删除:实现物联网数据的可验证保留
越来越多的物联网(IoT)系统的部署旨在通过提供多种增值服务来简化最终用户的日常生活。然而,物联网系统可能会在云中捕获和存储有关个人的敏感个人数据,从而危及用户隐私。新兴立法,如加州的CalOPPA和欧洲的GDPR,支持强有力的隐私法律来保护云中的个人数据。其中一项法律涉及严格执行数据保留政策。本文提出了一个名为IoT Expunge的框架,该框架允许传感器数据提供商将数据存储在云平台中,以确保保留策略的执行。此外,云提供商生成可验证的证据,证明其遵守保留策略。在现实世界的智能建筑测试平台上的实验结果表明,IoT Expunge对用户根据数据保留策略验证数据的开销最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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