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

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

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

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