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pith:2026:DCNB36IB7TXCN7YATOMPIA5I66
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ML Defender (aRGus NDR): An Open-Source Embedded ML NIDS for Botnet and Anomalous Traffic Detection in Resource-Constrained Organizations

Alonso Isidoro Rom\'an

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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4 Citations open
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Claims

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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

arxiv: 2604.04952 · arxiv_version: 2604.04952v6 · doi: 10.48550/arxiv.2604.04952 · pith_short_12: DCNB36IB7TXC · pith_short_16: DCNB36IB7TXCN7YA · pith_short_8: DCNB36IB
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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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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CR",
    "submitted_at": "2026-04-03T05:20:13Z",
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