Enhancing Attack Detection Capabilities in BACnet/IP Networks Using Machine-Learning Models
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
Record details
Published: 22 July 2026
Source: arXiv cs.CR (AI security)
Category: Research
Topics: Jobs & economy
Retrieved: 25 July 2026
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ethics.ai (22 July 2026), “Enhancing Attack Detection Capabilities in BACnet/IP Networks Using Machine-Learning Models,” evidence record 13486, https://ethics.ai/record/13486 (originally published by arXiv cs.CR (AI security)).
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