Robust Sterilization Resistant Video Authentication Using Pixel Randomization And Modified Lsb Steganography
Jayati Bhadra1, M. Vinayaka Murthy2, M.K. Banga3

Ms. Jayati Bhadra, Assistance Professor, Computer Science.
Dr M Vinayaka Murthy, Professor, Department of Mathematics, REVA University.
Dr. M.K Banga, Professor, Department of Computer Science and Engineering at J N National College of Engineering, Shimoga.

Manuscript received on 15 August 2019. | Revised Manuscript received on 21 August 2019. | Manuscript published on 30 September 2019. | PP: 5078-5082 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5697098319/2019©BEIESP | DOI: 10.35940/ijrte.C5697.098319
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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: An authentication method which uses randomization of the pixel selection and keyless modified Least significant bit steganography of a video is proposed. Randomization of pixel selection for hiding authentication information is based on probability percentage of the red color intensity values of each pixel of image frame, is not considered in any of the existing methods. The proposed method also uses modified LSB steganography which reduces the cost due to its simplicity. This method ensures minimum alterations of the resultant image. Keyless invisible embedding process increases the security. Experiments using histogram, surface plot proved that it can withstand visual attack. Euclidean distance, Chi-square, Correlation, Intersection values proved that it can withstand statistical attacks. StirMark benchmark test for robustness is used to prove that the proposed system is highly robust. This proposed method of video authentication gives cost effective solution which is better than the existing methods.
Keywords: Modified LSB, Video Steganography, Probability Percentage, Randomization.

Scope of the Article:
Authentication, Authorization, Accounting