pith:DCNB36IB
ML Defender (aRGus NDR): An Open-Source Embedded ML NIDS for Botnet and Anomalous Traffic Detection in Resource-Constrained Organizations
An open-source ML network detector on low-cost hardware detects botnet traffic with F1 of 0.9985 where signature and scripted systems largely fail.
arxiv:2604.04952 v6 · 2026-04-03 · cs.CR
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\pithnumber{DCNB36IB7TXCN7YATOMPIA5I66}
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Record completeness
Claims
aRGus NDR achieves F1=0.9985, Precision=0.9969, Recall=1.0000 on CTU-13 Neris (2 FP in 12,075 benign flows) while Suricata 6.0.10 with 50,010 rules generates zero alerts and Zeek 8.1.2 achieves F1=0.042.
The CTU-13 Neris dataset and the offline confirmation experiment on 323,154 packets constitute a fair, representative, and artifact-free test of real-world botnet detection performance across the three paradigms.
ML Defender achieves F1=0.9985 on CTU-13 Neris botnet detection with a dual fast-detector plus random forest model, outperforming Suricata (zero alerts) and Zeek (F1=0.042) in a three-paradigm comparison.
Receipt and verification
| First computed | 2026-06-23T03:13:57.061653Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
189a1df901fcee26ff009b98f403a8f78c719d97fd934bf1908d29b96c5e92cf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DCNB36IB7TXCN7YATOMPIA5I66 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 189a1df901fcee26ff009b98f403a8f78c719d97fd934bf1908d29b96c5e92cf
Canonical record JSON
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