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Application of Benford’s Law to the Identification of Non-authentic Digital Images
This study evaluated Benford’s law for detecting non-authentic digital images by analyzing the first digits of pixel values after a discrete cosine transform (DCT).We analyzed 137 pairs of authentic and modified JPEGs usingROCcurves, k-means clustering, chi-squared tests, and PCA.Jaroslaw Kobiela, Piotr Dzierwa
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Biometric multi-factor authentication: On the usability of the FingerPIN scheme
Security and Privacy, 2023Massimiliano Albanese, Emanuela Marasco
exaly
Introduction: Law and the Problematics of Indigenous Authenticities
Law & Social Inquiry, 2011Nicholas Buchanan, Eve Darian‐Smith
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A linear convolution-based cancelable fingerprint biometric authentication system
Computers and Security, 2022Wencheng Yang, Song Wang, James Jin Kang
exaly

