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Data · dataset · 2026

Yolo Dataset

Listed in Teesside University Research Data Repository

This dataset provides the experimental evaluation of a multi-layer digital certification security framework integrating YOLO26-EasyOCR, 6D Hyper-chaotic DNA encryption, SPHINCS+ digital signatures, and Quantum-Resistant Ledger (QRL) anchoring.

Description

It consists of 3,000 evaluated digital certificate samples (1,500 authentic and 1,500 adversarially attacked) across multiple formats and resolutions. The dataset captures key evaluation metrics including AI vision extraction accuracy (CER), computational latency, cryptographic randomness (Entropy, NPCR, UACI), and steganographic visual fidelity (PSNR, SSIM, MSE).

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/d3t8wccnkx.115 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title