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Assured Data Deletion With Fine-Grained Access Control for Fog-Based Industrial Applications

机译:通过基于雾的工业应用的细粒度访问控制确保数据删除

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摘要

The advances of cloud computing, fog computing, and Internet of things (IoT) make industries more prosperous than ever. A wide range of industrial systems such as transportation and manufacturing systems have been developed by integrating cloud computing, fog computing, and IoT infrastructure successfully. However, in this sophisticated system, security and privacy issues are major concerns that hinder the widespread adoptions of these novel techniques. In this paper, we focus on assured data deletion, an issue that is important but received less attention in academia and industry. We first propose a framework to integrate the cloud, the fog, and the things together to manage stored data from industries or individuals. We then focus on secure data deletion in this framework by proposing an assured data deletion scheme that fulfills verifiable data deletion as well as flexible access control over sensitive data. Only data owners and fog devices are involved when deleting cloud data and validating the deletion of these data, which makes the protocol practical due to the features of low latency as well as real-time interaction with fog. The proposed protocol takes advantage of the attribute-based encryption, whose security can be proved under the standard model. The theoretical analysis shows good performance and functionality requirements while the implementation results demonstrate the feasibility of our proposal.
机译:云计算,雾计算和物联网(IoT)的进步使行业比以往更加繁荣。通过成功集成云计算,雾计算和IoT基础架构,已经开发了各种工业系统,例如运输和制造系统。但是,在这个复杂的系统中,安全和隐私问题是阻碍这些新颖技术广泛采用的主要问题。在本文中,我们将重点放在保证数据删除上,这一问题很重要,但在学术界和工业界却很少受到关注。我们首先提出一个框架,将云,雾和事物集成在一起,以管理来自行业或个人的存储数据。然后,我们通过提出一种有保证的数据删除方案来专注于此框架中的安全数据删除,该方案可以实现可验证的数据删除以及对敏感数据的灵活访问控制。在删除云数据并验证这些数据的删除时,仅涉及数据所有者和雾设备,这由于低延迟以及与雾的实时交互的特性,使该协议实用。该协议利用了基于属性的加密技术,可以在标准模型下证明其安全性。理论分析显示了良好的性能和功能要求,而实现结果则证明了我们建议的可行性。

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