Centralized Routing Protocol for Detecting Wormhole Attacks in Wireless Sensor Networks
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
Nodes in wireless sensor networks (WSN) are resource and energy-constrained because they are generally batteries powered and therefore have limited computational capability. Due to the less secure environment in WSN, some malicious nodes at one point can tunnel packets to another location to damage the network in terms of packets dropping and eavesdropping and this is a so-called wormhole attack. Many of the current protocols solve the wormhole attack problem in isolation from the node energy consumption. However, some other proposed solutions consider reducing the energy consumption to detect such attacks but still it is needed to probe better performance. In this paper, we present a lightweight multi-hop routing protocol for 802.15.4 WSN that aims to minimize the energy consumption and also to detect the wormhole attacks. Simulation results prove that our MAC Centralized Routing Protocol (MCRP) outperforms other existing similar protocols.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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