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Point Adjustment Makes Random Scores Look Competitive on Power-Plant Control Data: An Evaluation Study on HAI 21.03

Year: 2026

Type: article

Abstract: On HAI 21.03, a power-generation industrial control testbed with 50 labelled attacks, uniformly random scores reach F1 = 0.71 under point adjustment, close to an Isolation Forest (0.77), while their point-wise F1 is 0.04. Requiring that 10% of an attack be flagged (PA%K, K = 10) drops the random control to 0.25. With thresholds set from held-out normal data, random scores produce 84.6 false alarms per day while a PCA detector finds 45 of 50 attacks with a 21 s median delay and 2.4 false alarms per day. Code, results, a 4-page technical report and an A1 poster.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23450816

Author: Siraj, Abdullah Mohammed

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7222899323

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