PPUSTMAN: Privacy-Aware PUblish/Subscribe IoT MVC Architecture Using Information Centric Networking
Bibliographic record
Abstract
IoT applications have been evolved in relation to every aspect of human life. The design of the applications adds new challenges such as mobility, scalability, and privacy to the current networking architecture design. For that reason, it is mandatory to investigate new solutions and paradigms such as Information Centric Network (ICN). ICN handles many of the challenges barely handled by current IP networks such as mobility and scalability, by using in-network caching and content retrieving based on contents names instead of host addresses. This paper presents a privacy-aware ICN architecture for IoT environments based on the Model-View-Controller (MVC) publish/Subscribe communication approach. This architecture focuses on supporting mobility, scalability, and privacy. A communication and processing cost comparison between Publish/Subscribe N-Tier and Publish/Subscribe MVC architectures, shows that the later outperforms N-Tier in communication, processing cost, and parallelism capabilities. Reasoning and planning for publishing actuation commands scenarios is performed using Situation Calculus which is used to formalize the communications in causality and temporal framework.
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How this classification was reachedexpand
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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".