A Secured Multi-Stages Authentication Protocol for IoT Devices
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 Internet of Things (IoT) facilitates the deployment of sensing devices for data acquisition and transmission across networks and systems, thus enabling innovative real-time applications.Securing these platforms remains paramount due to the high value placed on data privacy.This study proposes a novel real-time authentication method, fundamentally grounded in a One-Time Pad (OTP) concept.Data are encrypted using dynamic encryption, the parameters of which are determined by data from randomly distributed sensors.Encryption keys are dynamically transmitted, allowing for on-the-fly key generation and exchange.This enhances the security and privacy of user data.A lightweight technique for key creation, exchange, and authentication is presented for data collection from sensors used in real-time applications.This protocol ensures data privacy and security throughout the data collection process.The proposed protocol's efficacy is demonstrated through a discussion of how it meets these criteria, and an example illustrating its operation at each tier in the event of desynchronization or an incident.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.000 | 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