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Hash Function Construction Based on Chaotic Coupled Map Network

机译:基于混沌耦合地图网络的哈希函数施工

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Based on the Chaotic Coupled Map Network (CCMN), a novel scheme for constructing hash functions is proposed in this paper, which transforms messages and establishes a mapping form transformed messages to the parameters of CCMN. Through chaotic iterations, quantization and exclusive-or(XOR) operations, the algorithm can construct hash value with arbitrary length. The analysis and simulation results show that the CCMN-Hash algorithm is extremely sensitive to initial values and coupled factor, and the CCMN-Hash also has good properties, such as excellent one-way, confusion and diffusion and strong collision resistance.
机译:基于混沌耦合地图网络(CCMN),本文提出了一种用于构建散列函数的新颖方案,其转换消息并建立映射形式转换消息转换为CCMN的参数。通过混沌迭代,量化和排斥 - 或(XOR)操作,该算法可以构造具有任意长度的散列值。分析和仿真结果表明,CCMN-哈希算法对初始值和耦合因子非常敏感,CCMN-HASH还具有良好的性能,例如优异的单向,混乱和扩散和强烈的抗冲视。

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