Robust Steganography over Noisy Channel
Fahd Alharbi, Electrical Engineering Department, Faculty of Engineering, King Abdulaziz University, Rabigh, KSA.
Manuscript received on December 12, 2019. | Revised Manuscript received on December 23, 2019. | Manuscript published on January 10, 2020. | PP: 3537-3541 | Volume-9 Issue-3, January 2020. | Retrieval Number: B7888129219/2020©BEIESP | DOI: 10.35940/ijitee.B7888.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Steganography is accomplished by frequency or spatial domain. In spatial domain method, the important data are inserted directly into the image’s pixels. Alternatively, the coefficients of the image frequency transform like DCT are used to carry the important data. Robustness in the presence of a noise is important. In this paper, the robustness over a noisy channel with noise like Added White Gaussian Noise (AWGN), salt and pepper noise and Speckle noise is investigated. The bit error rate is used for system evaluation. Simulation outcomes demonstrate that the frequency based model is stronger than spatial method against channel noise. Moreover, robustness is enhanced via using error correction.
Keywords: Steganography, Robustness, Noise, AWGN, salt and pepper, Speckle.
Scope of the Article: Frequency Selective Surface