{
  "id": 13486,
  "url": "https://arxiv.org/abs/2607.20686v1",
  "title": "Enhancing Attack Detection Capabilities in BACnet/IP Networks Using Machine-Learning Models",
  "summary": "Building Automation Systems (BAS) manage critical building functions using protocols such as BACnet/IP, yet defenders have limited tooling and few labeled datasets for detecting BACnet-specific attacks. This work addresses these gaps through three contributions. First, CISA's Zeek BACnet parser is modified to produce a unified per-packet log, simplifying feature engineering for machine-learning (ML) pipelines. Second, a simulated BACnet/IP testbed is developed using bacpypes3 to model a small co",
  "authors": "Derek Manzella, John D. Hastings",
  "category": "research",
  "topics": "jobs-economy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-22T19:37:44.000Z",
  "fetched_at": "2026-07-25T05:10:48.796Z",
  "source_slug": "x-arxiv-cs-cr-ai-security",
  "source_name": "arXiv cs.CR (AI security)",
  "source_homepage": "https://arxiv.org/list/cs.CR/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/13486",
  "original_url": "https://arxiv.org/abs/2607.20686v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}