# Intrusion Detection on Network traffic log (train)

Source: [Intrusion Detection on Network traffic log (train)](<https://www.sota2.com/research/sota/intrusion-detection-on-network-traffic-log-train>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:27:25.344Z

Evaluation of Intrusion Detection performance on the training split of the Network traffic log dataset, measured by Accuracy, Loss, Run time, False Positives, and False Negatives.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Intrusion Detection |
| Dataset (including any stated split) | Network traffic log (train) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/intrusion-detection-on-network-traffic-log-train.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Loss](<https://www.sota2.com/research/sota/intrusion-detection-on-network-traffic-log-train.md?metric=Loss>): Lower is better; unit: SCALAR.

- [Run time (mins)](<https://www.sota2.com/research/sota/intrusion-detection-on-network-traffic-log-train.md?metric=Run%20time%20(mins)>): Lower is better; unit: TIME.

- [False Positives Count](<https://www.sota2.com/research/sota/intrusion-detection-on-network-traffic-log-train.md?metric=False%20Positives%20Count>): Lower is better; unit: SCALAR.

- [False Negatives Count](<https://www.sota2.com/research/sota/intrusion-detection-on-network-traffic-log-train.md?metric=False%20Negatives%20Count>): Lower is better; unit: SCALAR.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| GRU-SVM | 81.54 | Not recorded | 68fa65571e209131cea09def |
| GRU-Softmax | 63.07 | Not recorded | 68fa65571e209131cea09def |

### GRU-SVM

Accuracy: 81.54. Result ID: 698ca82c8b517eb4331bdc5e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65571e209131cea09def.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65571e209131cea09def.md>)

[Implementation](<https://github.com/AFAgarap/gru-svm>)

Recorded evaluation configuration: {"Epochs":5,"Batch Size":256,"Cell Size":256,"Dropout Rate":0.85,"Learning Rate":"1e-5","SVM C":0.5}. This record does not assert independent reproduction.

### GRU-Softmax

Accuracy: 63.07. Result ID: 698ca82c8b517eb4331bdc5f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65571e209131cea09def.md>)

Recorded evaluation configuration: {"Epochs":5,"Batch Size":256,"Cell Size":256,"Dropout Rate":0.8,"Learning Rate":"1e-6"}. This record does not assert independent reproduction.

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