PDSProxy:可信任的物联网代理，用于AI服务的机密自组织个性化

2020 29th International Conference on Computer Communications and Networks (ICCCN) Pub Date : 2020-08-01 DOI:10.1109/ICCCN49398.2020.9209655

Christian Meurisch, Bekir Bayrak, Florian Giger, M. Mühlhäuser

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引用次数: 4

摘要

个人数据存储(PDS)通常为个性化AI服务提供内部机密处理机制。然而，当人工智能服务需要在第三方物联网设备的用户PDS之外运行时，这些机制就不容易应用了。本文通过提出PDSProxy(一种在不受信任的设备上进行外部机密处理的扩展)来缩小这一差距，从而在分层操作的不受信任节点上安全传输个人数据。我们的评估表明了合理开销的PDSProxy的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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PDSProxy: Trusted IoT Proxies for Confidential Ad-hoc Personalization of AI Services

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.

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2020 29th International Conference on Computer Communications and Networks (ICCCN)

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