On the Feasibility of Reasoning about the Internal States of Blackbox IoT Devices Using Side-Channel Information
Internet of Things (IoT) devices are typically designed to function in a secure, closed environment, making it difficult for users to comprehend devices' behaviors. This paper shows that a user can leverage side-channel information to reason fine-grained internal states of black box IoT devices...
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Main Authors | , , , |
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Format | Journal Article |
Language | English |
Published |
22.11.2023
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Subjects | |
Online Access | Get full text |
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Summary: | Internet of Things (IoT) devices are typically designed to function in a
secure, closed environment, making it difficult for users to comprehend
devices' behaviors. This paper shows that a user can leverage side-channel
information to reason fine-grained internal states of black box IoT devices.
The key enablers for our design are a multi-model sensing technique that fuses
power consumption, network traffic, and radio emanations and an annotation
interface that helps users form mental models of a black box IoT system. We
built a prototype of our design and evaluated the prototype with open-source
IoT devices and black-box commercial devices. Our experiments show a false
positive rate of 1.44% for open-source IoT devices' state probing, and our
participants take an average of 19.8 minutes to reason the internal states of
black-box IoT devices. |
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DOI: | 10.48550/arxiv.2311.13761 |