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One-way Harsh function construction method based on chaotic dynamics theory

A construction method and chaotic technology, applied in the field of information security, can solve problems such as lack of security features

Active Publication Date: 2014-10-15
HUAQIAO UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Especially since 2005, through further in-depth research on the anti-collision characteristics of the Hash function through differential attacks, the construction method directly using a large number of logical operations no longer has good security features

Method used

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  • One-way Harsh function construction method based on chaotic dynamics theory
  • One-way Harsh function construction method based on chaotic dynamics theory
  • One-way Harsh function construction method based on chaotic dynamics theory

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Embodiment

[0065] In the present embodiment, the oversaturated Hopfield neural network has 16 neurons, introduces a random transformation matrix H, and the original state S u and the evolution of the matrix S composed of elements in the attraction domain follows the following rules:

[0066] S ^ = SH ;

[0067] S ^ u = S u H ;

[0068] is the updated state of S, is S u update status of .

[0069] Let the initial connection matrix T of the OHNN network 0 for:

[0070] T 0 = 1 1 1 1 0 - ...

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Abstract

The invention relates to a one-way Harsh function construction method based on the chaotic dynamics theory. Chaotic mapping of one-dimensional segmented linear mapping and the super-saturated Hopfield neural network are combined via a grouping Hash algorithm. The grouping Hash algorithm is that attractor elements (x0) in the convergence domain of the super-saturated Hopfield neural network act as secret keys to be combined with original text bits and previous iteration result values of the segmented linear mapping so that a corresponding Hash value is obtained through common operation. According to the one-way Harsh function construction method based on the chaotic dynamics theory, the segmented chaotic mapping and the super-saturated Hopfield neural network (OHNN) are combined based on the grouping Hash algorithm of the super-saturated Hopfield neural network, the chaotic system theory is introduced and the Hash function algorithm based on chaotic dynamics is explored and researched so that encryption application based on the method is more secure and reliable and is not liable to be defeated.

Description

technical field [0001] The invention relates to the field of information security, and more specifically, relates to a method for constructing a one-way hash function based on the theory of chaotic dynamics. Background technique [0002] When traditional classic Hash functions (such as MD5, SHA-1, etc.) are gradually broken, it becomes no longer so easy to find a more secure algorithm. Especially since 2005, through the further in-depth research on the anti-collision characteristics of Hash function through differential attack, the construction method directly using a large number of logical operations no longer has good security characteristics. [0003] Therefore, in the research and design process of Hash function algorithm, the introduction of chaotic system theory and the exploration and research of Hash function algorithm based on chaotic dynamics have become a new idea and new direction of research in the field of cryptography. The invention combines the piecewise li...

Claims

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Application Information

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IPC IPC(8): H04L9/00
Inventor 李国刚蔺小梅钟超林
Owner HUAQIAO UNIVERSITY