Where it hit the plant
raw water intake
chemical dosing
ultrafiltration
dechlorination / UV
reverse osmosis
permeate transfer & backwash
Attack window and detections
Shaded band: the labelled attack window from the iTrust ground-truth catalog. Marks: the first second each engine flagged the window. "No flag" means the engine stayed silent for the whole window.
Why it was flagged
At 2015-12-29 18:15:43, attack #20 (SSSP) manipulated AIT504 — “Set value of AIT-504 to 255 uS/cm”. The serving model raised the alert immediately — within the first second of the attack (peak score 8.3845x the operating threshold). The dominant physical evidence: AIT504 — RO permeate conductivity analyzer, Stage 5 (reverse osmosis) ran 81.3 standard deviations above the value predicted by the plant's learned physics, carrying 25% of the anomaly score — 15.2x its share in normal operation. Supporting deviations were concentrated in AIT503, P403, AIT201. In plain terms: the plant's own physics stopped agreeing with what the sensors were reporting, in exactly the part of the process the attacker touched.
Sensors carrying the anomaly score
| Sensor | Share of score | Deviation | Share vs normal |
|---|---|---|---|
| AIT504 RO permeate conductivity analyzer, Stage 5 (reverse osmosis) | 25.3% | 81.3σ | 15.2x |
| AIT503 RO feed conductivity analyzer, Stage 5 (reverse osmosis) | 16.0% | 51.5σ | 4.3x |
| P403 UV/RO feed pump (standby), Stage 4 (dechlorination / UV) | 14.9% | 47.8σ | 14.6x |
| AIT201 conductivity analyzer (NaCl dosing control), Stage 2 (chemical dosing) | 8.2% | 26.2σ | 1.8x |
| AIT501 RO feed pH analyzer, Stage 5 (reverse osmosis) | 5.1% | 16.3σ | 1.4x |
| PIT501 RO feed pressure transmitter, Stage 5 (reverse osmosis) | 3.5% | 11.4σ | 1.6x |
| FIT501 RO feed flow meter, Stage 5 (reverse osmosis) | 3.0% | 9.6σ | 2.1x |
| LIT301 UF feed tank level transmitter, Stage 3 (ultrafiltration) | 2.7% | 8.8σ | 0.5x |
Every figure has a run.
2026-06-11T22:34:18Z, commit 97752838a3f3d5271b7e43335fcf1f839fdf057a
sha-97752838a3f3
80c98149b000d88af3fc7b58ab407a24c81f3839426e7d4e53c2011bbf15c52a
2026-06-12T06:42:56Z
2616f67199c281fc558b4b05e3cccdeb223910e4c07addf0c80bc50f0ec5b333
vardar-portal/scripts/build-gallery-data.mjs (DEL-34/DEL-43)
SWaT and WaDi datasets courtesy of iTrust, Centre for Research in Cyber Security, Singapore University of Technology and Design. Detection figures trace to the reproducible model runs shown with each dataset.
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