为聚合物联网流启用隐私的多域框架

Renato Caminha Juaçaba-Neto, P. Mérindol, Fabrice Théoleyre
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引用次数: 2

摘要

物联网(IoT)有望将大量传感器和执行器集成到互联网上。多个并发应用程序可能共存于同一物联网基础设施之上,并且可能出于不同目的重用相同的数据。然而,隐私是许多物联网应用的主要关注点,例如智能建筑和医疗保健。我们在这里提出了一个多域物联网框架,其中每个域聚合不同的数据流以尊重其隐私问题。我们认为,删除敏感元数据和聚合每个数据流报告的值足以隐藏个人私有测量。此外,依靠命名数据网络(NDN)范例,我们可以利用缓存策略并执行网络内处理,以确保可伸缩性和隐私性。在本文中,我们讨论了必要的机制,以设计一个可扩展的跨域,隐私意识的NDN方案。
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A Multi-Domain Framework to Enable Privacy for Aggregated IoT Streams
The Internet of Things (IoT) is expected to integrate a large number of sensors, and actuators to the Internet. Multiple concurrent applications may cohabit on top of the same IoT infrastructure, and may re-use the same data for various purpose. However, privacy represents a major concern for many IoT applications, such as in smart building and healthcare. We propose here a multi-domain IoT framework where each domain aggregates distinct data-streams to respect their privacy concerns. We argue that removing sensitive meta-data and aggregating values reported by each data-stream is sufficient to hide individual private measurements. Moreover, relying on the Named Data Networking (NDN) paradigm, we can exploit caching strategies and perform in-network processing to ensure both scalability and privacy. In this paper, we discuss the necessary mechanisms to design a scalable inter-domain, privacy aware NDN scheme.
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