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                <identifier>oai:data.mendeley.com/d3t8wccnkx.1</identifier>
                <datestamp>2026-10-12T14:53:13Z</datestamp>
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    <dc:creator>Mubarak, Roy</dc:creator>
    <dc:title>Yolo Dataset</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>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. 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).</dc:description>
    <dc:subject>Image Database</dc:subject>
    <dc:subject>Meta Dataset</dc:subject>
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    <dc:identifier>oai:data.mendeley.com/d3t8wccnkx.1</dc:identifier>
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