| Title | Reference-free Detection of LSB Steganography Using Histogram Analysis |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Abdali, Natiq M., Hussain, Zahir M. |
| Conference Name | 2020 30th International Telecommunication Networks and Applications Conference (ITNAC) |
| Date Published | nov |
| Keywords | Classification algorithms, Communications technology, composability, Correlation, cryptography, feature extraction, Histograms, Image coding, image tampering, LSB steganography, Metrics, privacy, pubcrawl, steganalysis, steganography, steganography detection |
| 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 |
| Citation Key | abdali_reference-free_2020 |
Reference-free Detection of LSB Steganography Using Histogram Analysis