Lightweight Broadcast Authentication Protocol for Edge-Based Applications
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
In this article, we propose a lightweight authentication protocol that provides forward secrecy for edge-based applications. Motivated by the general consensus that centralized authentication solutions are not suitable for an expanding Internet of Things (IoT), our edge-based authentication reduces latency for critical applications, lowers cloud dependency, and employs cryptographic primitives, which are efficiently implemented on resource-constrained low-end devices. Moreover, the edge entity broadcast messages using session keys that are derived securely from a hash function. The protocol utilizes hash chains and authenticated encryption which makes it resilient to quantum attacks. Moreover, entities are not required to hold a permanent master key, and all session keys are derived securely from a hash function. As a use case, we present a smart emergency system where an edge application broadcasts alert messages for individual responder groups when specific events occur. We formally define and prove the main security properties of our protocol, and compare it to other lightweight protocols in terms of security and performance. The computational complexity of our protocol comprises of three decryption operations, two HMAC, and five hash computations. The required storage for each node is 96 B and the communication overhead is only 56 B per session.
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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) | 0.000 | 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 | 0.001 |
| Open science | 0.002 | 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