PDSProxy: Trusted IoT Proxies for Confidential Ad-hoc Personalization of AI Services
Christian Meurisch, Bekir Bayrak, Florian Giger, Max Mühlhäuser · 2020
Personal data stores (PDS) typically provide internal confidential processing mechanisms for personalizing AI services. However, these mechanisms cannot be easily applied when AI services are required to run outside a user's PDS on third-party IoT devices. This paper closes this gap by presenting PDSProxy- an extension for external confidential processing on untrusted devices, newly enabling the secure transmission of personal data over hierarchically operating un-/trusted nodes. Our evaluation shows the feasibility of PDSProxy with reasonable overhead.