Anonymous and Authenticated Routing in Multi-Hop Cellular Networks
Why this work is in the frame
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Bibliographic record
Abstract
Multi-hop cellular network is a promising architecture aiming to improve the performance of current cellular network. However, there are many security challenges due to the participation of the mobile nodes in the routing process. In this paper, we address two challenges: route anonymity, aiming to prevent attackers from tracking a packet flow to its source or destination; and location privacy, aiming to prevent attackers from detecting the nodes' locations. Most of the existing solutions require much computational power and energy. We propose a routing protocol that provides anonymous communication by protecting the user's anonymity and location privacy. The user's anonymity is preserved for a large number of compromised nodes. Simulations results show that the proposed protocol is efficient and can be implemented with an acceptable overhead.
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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 | 0.000 |
| 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