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Chaotic Hash Function Based on Tandem-DM Construction

Authors: Li Gao; Xiaomin Wang; Wenfang Zhang;

Chaotic Hash Function Based on Tandem-DM Construction

Abstract

Conventional chaotic hash functions adopt a number of iterations of chaotic map and a large number of floating point calculations, thus the implement of these hash functions require a great many resources. This kind of hash functions are hard to implement on the equipments which have limited resources, such as mobile phone and smart cards. In this paper, a novel hash algorithm is proposed which combines the advantage of both chaotic system and Tandem-DM compression structure. The proposal follows the usual Merkle-Damg{\aa}rd construction while compression function adopts the Tandem-DM compression structure. Block cipher used in the Tandem-DM compression function is replaced by the discretized chaotic map network (DCMN). The proposed hash function runs in the integer field and needs fewer computations. Compared with other chaotic hash functions, the algorithm inherits the efficiency of the conventional hash function while improves the security of hash function. Theoretical and simulation results show that the proposed hash algorithm has strong diffusion and confusion capability and good collision resistance, as required by practical hash functions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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