A Multipath Routing Approach for Secure and Reliable Data Delivery in Wireless Sensor Networks
Why this work is in the frame
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Bibliographic record
Abstract
The severe resource constraints and challenging deployment environments of wireless sensor networks (WSNs) pose challenges for the security and reliability of data transmission for these networks. In this paper, we present and evaluate a secure and reliable routing mechanism offering different levels of security in an energy-efficient way for WSNs. Our approach uses node-disjoint routing and the selection mechanism of these paths depends on different application requirements in terms of security. The original data message is split into packets that are coded using Reed-Solomon (RS) codes and, to provide diverse levels of security, different number of fragments is encrypted related to the requested security level before being transmitted along independent node-disjoint paths. This technique makes encryption feasible for energy-constrained and delay-sensitive applications while still maintaining a robust security protection. We describe how to find the secure multipath, the number of these paths, and how to allocate fragments on each path seeking to enhance security and improve data reliability. Extensive analysis and performance evaluation show that data transmission security and reliability can be enhanced while respecting the resource constraints of WSNs.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 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