On the Use of Benford’s Law to Detect JPEG Biometric Data Tampering

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ISSN Print: 2153-1234
ISSN Online: 2153-1242
www.scirp.org/journal/jis
E-mail: jis@scirp.org

"On the Use of Benford’s Law to Detect JPEG Biometric Data Tampering"
written by Iorliam Aamo, Shangbum F. Caleb,
published by Journal of Information Security, Vol.8 No.3, 2017

has been cited by the following article(s):

[1]	An Investigation Of Ben-ford's Law Divergence And Machine Learning Techniques For Separability Of Fingerprint Images
	arXiv preprint arXiv:2201.01699, 2022

[2]	An Investigation of Benford's Law Divergence and Machine Learning Techniques for Intra-Class Separability of Fingerprint Images
	Gazi University Journal of …, 2022

[3]	A data transformation process for using Benford's Law with bounded data
	Emerald Open Research, 2021

[4]	A data transformation process for using Benford's Law with bounded data [version 1; peer review: awaiting peer review]
	2021

[5]	Generalized Benford's Law for Fake Fingerprint Detection
	2020

[6]	Forensics and Biometrics Importance
	Fundamental Computing Forensics for Africa, 2018

[7]	Real or Fake? A Practical Method for Detecting Tempered Images


[8]	Application of Benford's Law to Detect if COVID-19 Data is under Reported or Manipulated

[1]	A data transformation process for using Benford's Law with bounded data Emerald Open Research, 2023 DOI:10.1108/EOR-03-2023-0013

[2]	Real or Fake? A Practical Method for Detecting Tempered Images 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS), 2022 DOI:10.1109/IPAS55744.2022.10052973

[3]	An Investigation of Benford’s Law Divergence and Machine Learning Techniques for Intra-Class Separability of Fingerprint Images Gazi University Journal of Science Part A: Engineering and Innovation, 2022 DOI:10.54287/gujsa.1077430

[4]	Real or Fake? A Practical Method for Detecting Tempered Images 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS), 2022 DOI:10.1109/IPAS55744.2022.10052973

[5]	An Investigation of Benford’s Law Divergence and Machine Learning Techniques for Intra-Class Separability of Fingerprint Images Gazi University Journal of Science Part A: Engineering and Innovation, 2022 DOI:10.54287/gujsa.1077430

[6]	A data transformation process for using Benford’s Law with bounded data Emerald Open Research, 2021 DOI:10.35241/emeraldopenres.14374.1

[7]	Generalized Benford’s Law for Fake Fingerprint Detection 2020 IEEE Applied Signal Processing Conference (ASPCON), 2020 DOI:10.1109/ASPCON49795.2020.9276660

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