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Communication Dans Un Congrès Année : 2010

Improving random number generators by chaotic iterations. Application in data hiding

Résumé

In this paper, a new pseudo-random number generator (PRNG) based on chaotic iterations is proposed. This method also combines the digits of two XORshifts PRNGs. The statistical properties of this new generator are improved: the generated sequences can pass all the DieHARD statistical test suite. In addition, this generator behaves chaotically, as defined by Devaney. This makes our generator suitable for cryptographic applications. An illustration in the field of data hiding is presented and the robustness of the obtained data hiding algorithm against attacks is evaluated.
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Dates et versions

hal-00563319 , version 1 (04-02-2011)

Identifiants

  • HAL Id : hal-00563319 , version 1

Citer

Christophe Guyeux, Qianxue Wang, Jacques Bahi. Improving random number generators by chaotic iterations. Application in data hiding. ICCASM 2010, Int. Conf. on Computer Application and System Modeling, 2010, China. pp.V13-643--V13-647. ⟨hal-00563319⟩
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