Securing image information using double random phase encoding and parallel compressive sensing with updated sampling processes |
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Institution: | 1. School of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;2. Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) of Ministry of Education, College of Computer Science, Chongqing University, Chongqing 400044, China;3. Key Laboratory of Electronic Commerce and Logistics of Chongqing, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;1. Optical Information Science Research Center (OISRC), Patna 800014, India;2. Department of Physics, Maulana Azad College of Engineering and Technology, Patna 801113, India |
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Abstract: | Recently, a new kind of image encryption approach using compressive sensing (CS) and double random phase encoding has received much attention due to the advantages such as compressibility and robustness. However, this approach is found to be vulnerable to chosen plaintext attack (CPA) if the CS measurement matrix is re-used. Therefore, designing an efficient measurement matrix updating mechanism that ensures resistance to CPA is of practical significance. In this paper, we provide a novel solution to update the CS measurement matrix by altering the secret sparse basis with the help of counter mode operation. Particularly, the secret sparse basis is implemented by a reality-preserving fractional cosine transform matrix. Compared with the conventional CS-based cryptosystem that totally generates all the random entries of measurement matrix, our scheme owns efficiency superiority while guaranteeing resistance to CPA. Experimental and analysis results show that the proposed scheme has a good security performance and has robustness against noise and occlusion. |
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