Reference-free Detection of LSB Steganography Using Histogram Analysis
| Autor: | Natiq M. Abdali, Zahir M. Hussain |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Steganography
business.industry Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Data_CODINGANDINFORMATIONTHEORY Filter (signal processing) Image (mathematics) Statistical classification Least significant bit Histogram Artificial intelligence business Image histogram |
| Zdroj: | ITNAC |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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