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Table · dataset · 2026

CPDS-AD dataset

Listed in figshare

<p dir="ltr">The CPDS-AD dataset is an open, hardware-derived cyberattack detection dataset for cyber-physical distribution systems, generated using a laboratory-level scaled testbed rather than relying solely on numerical simulation.

Description

The testbed emulates the steady-state operating and cyber-measurement processes of a 13-node, three-phase unbalanced MV-type radial distribution feeder and incorporates a three-layer cyber architecture consisting of the application, gateway, and perception layers.

The dataset contains normal-operation records, six types of false data injection attacks—additive, subtractive, replay, ramp-drift, local model-consistent, and adversarial-learning-based attacks—and polling-aware denial-of-service attacks at low, medium, and high intensity levels. Raw communication messages are processed through device-specific message parsing, timestamp alignment, and measurement synchronization to obtain structured time-series measurement data.

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For DoS analysis, communication traffic volume is additionally aggregated over consecutive 5-s windows. The merged normal-operation dataset, <code>train_data.xlsx</code>, contains 14,400 samples and 132 measurement features. The six merged FDI test datasets, <code>test_data_A.xlsx</code>, <code>test_data_S.xlsx</code>, <code>test_data_R.xlsx</code>, <code>test_data_RD.xlsx</code>, <code>test_data_LMC.xlsx</code>, and <code>test_data_AL.xlsx</code>, each contain 2,880 samples with the same 132 features and a final binary ground-truth label column, where 0 denotes normal operation and 1 denotes an attacked sample.

The DoS datasets are provided separately as <code>test_data_D_low.xlsx</code>, <code>test_data_D_medium.xlsx</code>, and <code>test_data_D_high.xlsx</code>, containing the aggregation-window timestamp, traffic volume, and corresponding binary label.</p>

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Catalogue records · 1

Topics

Inferred from text
Simulation 75%
Provenance · 3 source records, 17 field assertions
SourceKeyLast seenRaw
HKU DataHub · removed upstreamoai:figshare.com:article/3198993313 d agoJSON v1
figshareoai:figshare.com:article/3198993313 d agoJSON v1
Loughborough Research Repository · removed upstreamoai:figshare.com:article/3198993312 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:astronomymapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:chemistrymapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:computer-science-aimapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:economics-financemapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:engineeringmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:humanitiesmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:life-sciencesmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:medicine-healthmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:social-sciencemapping · figshare comconnector:figshare_com@1.0.0
concepts[method].local:method:simulationenrichment · figshare comkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · figshare comconnector:figshare_com@1.0.0/metadata/dc/description
licensesource · figshare comconnector:figshare_com@1.0.0/metadata/dc/rights
publication_datesource · figshare comconnector:figshare_com@1.0.0
titlesource · figshare comconnector:figshare_com@1.0.0/metadata/dc/title