Securing Consumer IoT in the Smart Home: Architecture, Challenges, and Countermeasures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The consumer Internet of Things (IoT) platforms are gaining high popularity. However, due to the open nature of wireless communications, smart home platforms are facing many new challenges, especially in the aspect of security and privacy. In this article, we first introduce the architecture of current popular smart home platforms and elaborate the functions of each component. Then we discuss the security and privacy challenges arising from these platforms and review the state of the art of the proposed countermeasures. We give a comprehensive survey on several new attacks on the voice interface of smart home platforms, which aim to gain unauthorized access and execute over-privileged behaviors to compromise the user's privacy. To thwart these attacks, we propose a novel voice liveness detection system, which analyzes the wireless signals generated by IoT devices and the received voice samples to perform user authentication. We implement a real-world testbed on Samsung's SmartThings platform to evaluate the performance of the proposed system, and demonstrate its effectiveness.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it