I dOn'T (Z)Know: An Architecture for Zero-Knowledge Cross-Platform IoT Applications
The Internet of Things (IoT) fosters connected environments where devices interact with one another and with users to enable context-aware applications. End-user authoring tools empower individuals to create personalised automations, such as health-related rules that respond to physiological metrics. However, these tools are often tied to specific vendors, limiting the portability of user-defined automations across platforms. This restriction poses significant challenges in domains like healthcare, where users may depend on such automations for daily assistance. To address this issue, in our recent research, we have proposed a write once, run anywhere paradigm to enable rule portability across heterogeneous IoT environments. While this approach improves continuity, it also raises privacy concerns, as user data may be exposed during the migration of automations between platforms. In this paper, we address some of these privacy challenges by introducing a representative user scenario, analysing related work and proposing a privacy-preserving IoT architecture (IOT-ZK) that makes use of zero-knowledge proofs, along with a proof-of-concept implementation. Our proposed solution supports secure and portable automation across IoT platforms, with particular emphasis on safeguarding user data in sensitive domains such as healthcare.
Publication Reference
Attoh, E. and Signer, B.: "I dOn'T (Z)Know: An Architecture for Zero-Knowledge Cross-Platform IoT Applications", Proceedings of IoTBDS 2026, 11th International Conference on Internet of Things, Big Data and Security, Benidorm, Spain, May 2026
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WISE Authors
Related Research Topic(s)
- Internet of Things and Smart Environments
- Cross-Media Information Spaces and Architectures (CISA)
- Context-aware Applications