Secure Hiding Messages Technique Based on the Effect of Camera Settings on the Image's Quantum Noise. | ||
| Labyrinth: Fayoum Journal of Science and Interdisciplinary Studies | ||
| Articles in Press, Accepted Manuscript, Available Online from 06 December 2024 PDF (1.59 M) | ||
| Document Type: Original full papers (regular papers) | ||
| DOI: 10.21608/ifjsis.2024.313955.1086 | ||
| Authors | ||
| Mohammed R. AbdEltawwab* 1; Shereen A Taie2; Hany Hamdy El-Bahnasawy3; Amir Eissa4 | ||
| 1Department of basic science,Faculty of Computers and Artificial Intelligence, Fayoum University, El Fayoum, Egypt. | ||
| 2Department of Computer Science, Faculty of Computers and Information, Fayoum University, Fayoum, Egypt | ||
| 3Physics Department, Faculty of Science, Al-Azhar University, Nasr City, Cairo, Egypt. | ||
| 4Physics Department, Faculty of Science, Al-Azhar University, Nasr City, Cairo, Egypt. | ||
| Abstract | ||
| Image steganography is considered one of the most promising secure data transmission methods because it hides the data in an image file. The image file has a substantial role. A lot of methods of image steganography have been presented in the literature. Most researchers in the field of image steganography are indifferent to the image file's origin and the camera settings that directly affect the image itself. They often design their algorithms to consider the image as one channel or a combination of three color channels. They don’t consider that the performance of their algorithms can be influenced by the sensor's noise, which is affected by the camera settings. To address this issue, we have studied the relationship between the camera settings and the camera sensor’s noise and the effect of that on the performance of a steganography algorithm. In a case study, we have investigated the steganography algorithm that is based on quantum noise. We have used numerous images that have been captured with various camera settings for various objects at different times of the day to assess the generalizability of the proposed study. The experimental results showed that raising the sensitivity of the camera's sensor enables it to capture more photons, which in turn increases the interacting photons. Thus, the quantum noise level in the resulting image increases, which in turn increases the number of non-equal pixels in two consecutively images and enables the steganogaraphy algorithm to transmit high-capacity secret messages and decode them without bit error. | ||
| Keywords | ||
| Image Steganography; Hiding Information; Quantum Noise; Camera Settings | ||
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