A Multi-Domain Framework to Enable Privacy for Aggregated IoT Streams

Renato Caminha Juacaba Neto , Pascal Mérindol , Fabrice Theoleyre (1)

1 ICube - Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie

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 metadata 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.

Domaines: Réseaux et télécommunications [cs.NI]

Renato Caminha Juacaba Neto, Pascal Mérindol, Fabrice Theoleyre. A Multi-Domain Framework to Enable Privacy for Aggregated IoT Streams. IEEE Conference on Local Computer Networks (LCN), Nov 2020, Sydney, Australia. pp.401-404, ⟨10.1109/LCN48667.2020.9314825⟩. ⟨hal-02965770⟩