István, Zsolt ; Rosero, Paul ; Bonnet, Philippe (2022)
Always-trusted IoT - Making IoT Devices Trusted with Minimal Overhead.
5th Workshop on System Software for Trusted Execution (SysTEX'22). Lausanne, Switzerland (28.03.2022-04.03.2022)
Conference or Workshop Item, Bibliographie

Abstract

Internet-of-Things (Iot) devices are becoming increasingly prevalent, with many of them not only relaying data to the Cloud but also being capable of local computation. This capability could be used for many purposes: detecting sensor tampering, compression or anonymization of data before uploading to the cloud, or even participating in distributed Machine Learning. IoT devices are not only at risk of malicious and misbehaving software, but due to their deployment in unprotected locations, they are also at risk of physical attackers and tampering. Even though there are many exciting local computation ideas, the authenticity of computations performed on most IoT devices cannot be guaranteed. In clouds, Trusted Execution Environments (TEEs) already offer trust in the computation carried out even in the presence of a physical attacker, without slowing applications down. In IoT devices, however, such TEEs introduce large performance overheads and increase energy consumption. In this project we propose a radical way forward: to design IoT platforms with processors that do not rely on off-chip memory and instead keep application state on on-chip memory that is easier to protect. This design reduces the overhead of TEEs significantly: it eliminates the cost of securing off-chip memory from attackers. It is important to note that, in addition to fresh thinking on how to design processors with more on-chip memory, computation will also have to be re-imagined to fit in a reduced memory footprint.

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