A novel Hash algorithm construction based on chaotic neural network |
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Authors: | Yantao Li Shaojiang Deng Di Xiao |
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Affiliation: | (1) College of Computer Science, Chongqing University, 400044 Chongqing, China |
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Abstract: | An algorithm for constructing a one-way novel Hash function based on two-layer chaotic neural network structure is proposed.
The piecewise linear chaotic map (PWLCM) is utilized as transfer function, and the 4-dimensional and one-way coupled map lattices
(4D OWCML) is employed as key generator of the chaotic neural network. Theoretical analysis and computer simulation indicate
that the proposed algorithm presents several interesting features, such as high message and key sensitivity, good statistical
properties, collision resistance and secure against meet-in-the-middle attacks, which can satisfy the performance requirements
of Hash function. |
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Keywords: | |
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