Reference-free detection of LSB steganography using histogram analysis
Document Type
Conference Proceeding
Publication Title
2020 30th International Telecommunication Networks and Applications Conference (ITNAC)
Publisher
IEEE
School
School of Engineering
RAS ID
39799
Abstract
Due to the difficulty of obtaining a database of original images that are required in the classification process to detect tampering, this paper presents a technique for detecting image tampering such as image steganography in the spatial domain. The system depends on deriving the auto-correlation function of the image histogram, then applying a high-pass filter with a threshold. This technique can be used to decide which image is cover or a stego image, without adopting the original image. The results have eventually revealed the validity of this system. Although this study has focused on least-significant-bit (LSB) steganography, we expect that it could be extended to other types of image tapering.
DOI
10.1109/ITNAC50341.2020.9315037
Access Rights
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Comments
Abdali, N. M., & Hussain, Z. M. (2020, November). Reference-free detection of LSB steganography using histogram analysis [Paper presentation]. 2020 30th International Telecommunication Networks and Applications Conference (ITNAC), Melbourne, VIC, Australia. https://doi.org/10.1109/ITNAC50341.2020.9315037