A Guard Node (GN) based Technique against Misbehaving Nodes in MANET
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 open communication environment such as Ad hoc network, the possibility of having misbehaving nodes is high. The presence of misbehaving nodes could degrade the performance of the overall network. This mandates adopting Intrusion Detection System (IDS) that helps the routing protocol to avoid misbehavior nodes and links. The IDS should feature low overhead controlling packet, high accuracy level and low rate of both false alarms and missed detection rate. There are several IDS techniques proposed in the literature such as Watchdog and End-to-End acknowledgment based system. In this work, we propose a system based on assigning some nodes called “guard nodes” the responsibility of overhearing and reporting the misbehaving nodes. The scheme is proposed to overcome the majority of the drawbacks associated with the Watchdog techniques. We compare and evaluate our proposed scheme against Dynamic Source Routing (DSR) protocol using NS-2 program.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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