Cyber‐Physical Vulnerabilities of Wireless Sensor Networks in Smart Cities
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
Smart cities are the future cities that meet a set of technical and nontechnical criteria. It is obvious that smart cities require extensive implementation of information and communication technologies (ICTs). In particular, wireless sensor networks (WSNs) have big roles to play to support smart city operations. It requires large-scale deployments of WSNs around the city for sensing numerous events. A massive amount of information will then be collected from those WSNs for analyses and decision-making. The most challenging part is to secure information from various forms of attacks. Detection and prevention procedures in response to cyber-physical attacks are resource intensive. This chapter provides a tutorial overview of some specialized WSN applications and their cyber-physical vulnerabilities in the context of smart cities. It also includes a discussion on possible mitigation approaches.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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