IEEE International Conference on Multimedia and Expo, ICME 2009, pp. 1568 - 1571.
ISSN/ISBN: 1945-7871 DOI: 10.1109/ICME.2009.5202811
Abstract: In this paper, we attempt to shed light on Benford's law from the viewpoint of probability theory and point out its limitation in image forensic applications. First, we consider a generalized form of Benford's law and relate it to a random variable of a certain probability density function such as the generalized Gaussian or Laplacian function. Then, we examine the application of the generalized Benford's law to image forensic applications and point out such an application is vulnerable to the histogram manipulation attack.
Bibtex:
@inproceedings{,
AUTHOR={Jingwei Wang and Byung-Ho Cha and Seong-Ho Cho and C.-CJ Kuo},
TITLE={Understanding Benford’s Law and its Vulnerability in Image Forensics},
BOOKTITLE={Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, ICME},
YEAR={2009},
PAGES={1568--1571},
DOI={10.1109/ICME.2009.5202811},
}
Reference Type: Conference Paper
Subject Area(s): Image Processing