A Biologically-Inspired Type-2 Fuzzy Set Based Algorithm for Detecting Misbehaving Nodes in Ad-Hoc
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
Implementation of routing protocols in mobile adhoc networks relies on efficient node cooperation. However, node misbehavior is a common phenomenon, thus, ad-hoc networks are subject to packet dropping, packet modification, packet misrouting, selfish node behavior, and so on. In this paper, a biologically-inspired type-2 fuzzy set recognition algorithm for detecting misbehaving nodes in an ad-hoc wireless network is presented. Such algorithm, inspired by danger theory and antigen presenting cells, would be implemented in an Artificial Immune System (AIS) for detecting misbehaving nodes without human intervention.
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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