Leveraging Secure Multiparty Computation in the Internet of Things
Marcel von Maltitz, Georg Carle

TL;DR
This paper proposes an architecture for IoT data processing that integrates secure multiparty computation to enhance privacy protection in centralized systems.
Contribution
It introduces a novel architecture embedding secure multiparty computation into IoT systems for improved privacy.
Findings
Enhanced privacy preservation in IoT data processing.
Architecture demonstrates feasibility of secure multiparty computation in IoT.
Supports privacy by design in IoT architectures.
Abstract
Centralized systems in the Internet of Things---be it local middleware or cloud-based services---fail to fundamentally address privacy of the collected data. We propose an architecture featuring secure multiparty computation at its core in order to realize data processing systems which already incorporate support for privacy protection in the architecture.
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