The paper proposes a lossless quantum image encryption scheme based on substitution tables (S-box) scrambling, mutation operation and general Arnold transform with keys. First, the key generator builds upon the foundation of SHA-256 hash with plain-image and a random sequence. Its output value is used to yield initial conditions and parameters of the proposed image encryption scheme. Second, the permutation and gray-level encryption architecture is built by discrete Arnold map and quantum chaotic map. Before the permutation of Arnold transform, the pixel value is modified by quantum chaos sequence. In order to get high scrambling and randomness, S-box and mutation operation are exploited in gray-level encryption stage. The combination of linear transformation and nonlinear transformation ensures the complexity of the proposed scheme and avoids harmful periodicity. The simulation shows the cipher-image has a fairly uniform histogram, low correlation coefficients closed to 0, high information entropy closed to 8. The proposed cryptosystem provides 2256 key space and performs fast computational efficiency (speed = 11.920875 Mbit/s). Theoretical analyses and experimental results prove that the proposed scheme has strong resistance to various existing attacks and high level of security.
Trusted computing is a novel technology of information system security. It has become a new tide in worldwide information security area and achieved inspiring accomplishment. In China, the initiative research of trusted computing is not late, and the achievements are plentiful and substantial. Our country is in the front rank of the world in trusted computing. This paper comprehensively illustrates the recent development in theory and technology of trusted computing, introduces some improvements in trusted computing in our country, and proposes our opinions and viewpoints towards the existing problems in trusted computing and its future development.
Remote-sensing images contain lots of visual information about transportation systems, geomorphic conditions, and communal facilities. The secure storage and transmission of remote-sensing images are of great significance. This paper proposes a novel image encryption scheme-based DNA bases probability and applies it to remote-sensing images for data protection. First, the plain-image is randomly encoded in DNA rules and its result participates in DNA addition with DNA mask generated by 2-D logistic map. Second, the cryptosystem executes 2-D logistic map again with DNA bases probability against differential attacks. Third, the pixel-level rearrangement and the DNA base-level rearrangement are, respectively, implemented in order of chaos sequences for permutation and diffusion. The cipher-image has a uniform distribution, low coefficients, and ideal entropy. The cryptosystem has acceptable encryption speed (speed = 0.651308Mbit/s) and high sensitivity to the plain-image and the security key. The experimental results show that the proposed algorithm can resist various existing attack schemes against remote-sensing images. INDEX TERMS Remote-sensing images, DNA bases probability, two-dimensional logistic map, base-level rearrangement.
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