Enhancing IoT Security and Privacy with Trusted Execution Environments and Machine Learning. (arXiv:2305.02584v1 [cs.CR])

With the increasing popularity of Internet of Things (IoT) devices, security
concerns have become a major challenge: confidential information is constantly
being transmitted (sometimes inadvertently) from user devices to untrusted
cloud services. This work proposes a design to enhance security and privacy in
IoT based systems by isolating hardware peripheral drivers in a trusted
execution environment (TEE), and leveraging secure machine learning
classification techniques to filter out sensitive data, e.g., speech, images,
etc. from the associated peripheral devices before it …

challenge cloud cloud services confidential design devices environments information internet internet of things iot iot security machine machine learning major privacy security services systems things untrusted work