OAuthing: Privacy-enhancing federation for the Internet of Things

Paul Fremantle, B. Aziz
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引用次数: 21

Abstract

The Internet of Things (IoT) has significant security and privacy risks. Currently, most devices connect to a cloud service that is provided by the manufacturer of the device. We outline a proposed model for IoT that allows the identity of users and devices to be federated. Users and devices are issued with secure, random, anonymised identities that are not shared with third-parties. We demonstrate how devices can be connected to third-party applications without inherently de-anonymising them. Sensor data and actuator commands are federated through APIs to cloud services. All access to device data and commands is based on explicit consent from users. Each user's data is handled by a personal cloud instance providing improved security and isolation. We demonstrate this model is workable with a prototype system that implements the major features of the model. We present experiment results including performance, capacity and cost metrics from the prototype. We compare this work with other related work, and outline areas for discussion and future work.
OAuthing:物联网隐私增强联盟
物联网(IoT)存在重大的安全和隐私风险。目前,大多数设备连接到由设备制造商提供的云服务。我们概述了一个提议的物联网模型,该模型允许用户和设备的身份联合。用户和设备被授予安全、随机、匿名的身份,不会与第三方共享。我们演示了如何将设备连接到第三方应用程序,而无需对其进行本质上的去匿名化。传感器数据和执行器命令通过api联合到云服务。所有对设备数据和命令的访问都是基于用户的明确同意。每个用户的数据都由个人云实例处理,从而提高了安全性和隔离性。我们用一个原型系统来证明这个模型是可行的,这个原型系统实现了模型的主要特征。我们给出了实验结果,包括原型的性能、容量和成本指标。我们将此工作与其他相关工作进行了比较,并概述了讨论和未来工作的领域。
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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