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arXiv 1012.4620cs.CRnlin.CD
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用混沌迭代法改进随机数发生器。在数据隐藏中的应用

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

Christophe Guyeux, Qianxue Wang, Jacques M. Bahi

摘要:

提出了一种基于混沌迭代的伪随机数发生器。该方法还组合了两个XOR移位PRNG的数字。这种新的生成器的统计特性得到改善:生成的序列可以通过所有的DieHARD统计测试套件。此外,这个生成器的行为是混沌的,正如Devaney所定义的。这使得我们的生成器适合加密应用。在数据隐藏领域的一个例子,并评估所获得的数据隐藏算法对攻击的鲁棒性。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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