Data · dataset · 2026
TempFirm Ground-Truth Dataset v1.0: Labelled Firmware Trigger-Sink Metadata for Time-Triggered Backdoor Detection
Listed in Teesside University Research Data Repository
TempFirm Ground-Truth Dataset v1.0 is a labelled cybersecurity dataset designed for research on firmware and IoT backdoor detection, with emphasis on temporal trigger mechanisms and security-relevant sink behaviors.
Description
The publication-ready CSV contains 10,000 records and 10 fields: id, label, trigger_class, sink_type, tau, eol_date, delta_days, conf, sdk_origin, and notes. Each record is labelled as either backdoor or benign.
Backdoor-labelled records describe trigger-sink patterns associated with time, uptime, boot/power-cycle counters, RTC registers, filesystem or certificate-expiry conditions, and watchdog/crash counters. Sink categories include shell execution, network behavior, authentication bypass, firewall manipulation, and credential modification. The dataset also includes confidence scores and optional SDK/source-family identifiers.
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The dataset is intended to support reproducible academic research in firmware security, IoT security, temporal trigger analysis, explainable cybersecurity feature engineering, and benchmark construction for machine learning or rule-based detection pipelines.
Links
Where it is published
- DOI doi.org/10.17632/rbs7ttpt7w.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/rbs7ttpt7w.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |