进一步推动边缘计算:个人设备上的弹性和隐私保护处理

Ludovic Javet, N. Anciaux, Luc Bouganim, Léo Lamoureux, P. Pucheral
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引用次数: 0

摘要

我们能否进一步推动边缘计算?这篇演示论文通过利用网络边缘可信执行环境的泛化来实现个人设备上的弹性和隐私保护计算,提出了这个问题的答案。根据初步公布的结果,我们表明这可以彻底改变个人数据分布式处理的构思和实现方式。这里展示的平台通过集成异构安全个人设备的执行场景展示了该方法的相关性。
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Pushing Edge Computing one Step Further: Resilient and Privacy-Preserving Processing on Personal Devices
Can we push Edge computing one step further? This demonstration paper proposes an answer to this question by leveraging the generalization of Trusted Execution Environments at the very edge of the network to enable resilient and privacy-preserving computation on personal devices. Based on preliminary published results, we show that this can drastically change the way distributed processing over personal data is conceived and achieved. The platform presented here demonstrates the pertinence of the approach through execution scenarios integrating heterogeneous secure personal devices.
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