音频加密-基于混沌的数据字节置乱技术

Q4 Decision Sciences
M. Parvees, J. A. Samath, B. Bose
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引用次数: 8

摘要

本研究提出一种利用多重混沌映射的高效音频字节置乱技术。音频加密方案采用Henon图和混沌经济图创建序列。该系统采用了一种有效的算法,使序列相互依赖。这种相互依赖将增加算法的敏感性和复杂性。对纯音频数据字节重复应用混淆和扩散技术,产生可通过公共信道存储或发送的密码音频数据字节。通过对李雅普诺夫指数和分岔性质的混沌映射的详细研究,支持了所提出的密码系统的混沌行为,从而产生高度安全的密码音频。直方图分析、密钥空间分析、密钥灵敏度分析、统计分析、差分攻击分析、熵分析、均方差数据字节值分析和随机性分析的结果保证了音频加密方案在各种攻击下的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Audio encryption – a chaos-based data byte scrambling technique
This study proposes an efficient audio byte scrambling technique using multiple chaotic maps. The audio encryption scheme uses Henon map and chaotic economic map for creating sequences. The system uses an efficient algorithm which makes the sequences to interdependent with each other. This inter-dependency will add more sensitivity and complexity to the proposed algorithm. A repeated application of confusion and diffusion techniques on plain audio data bytes produces the cipher audio data bytes which can be stored or sent through the public channel. The detailed study of chaotic maps with respect to Lyapunov exponent and bifurcate nature, supports the proposed cryptosystem to behave chaotically, thereby produce highly secured cipher audio. The results of the various analyses including histogram, key space, key sensitivity, statistical, differential attack, entropy, mean-variance data bytes value and randomness analyses ensures the security of the audio encryption scheme against various kinds of attacks.
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来源期刊
International Journal of Applied Systemic Studies
International Journal of Applied Systemic Studies Decision Sciences-Information Systems and Management
CiteScore
1.10
自引率
0.00%
发文量
2
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