A Chaos-based Joint Compression and Encryption Scheme Using Mutated Adaptive Huffman Tree

Zhi-liang Zhu, Ying Tang, Qiong Liu, Wei Zhang, Hai Yu
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引用次数: 8

Abstract

In this paper, a new joint compression and encryption scheme based on adaptive Huffman tree using chaotic maps is proposed. Due to the intrinsic feature of adaptive Huffman coding, it permits building the code as the symbols are being transmitted and can be applied in real time applications. In proposed scheme, the adaptive Huffman tree is mutated by a key-stream generated by two chaotic maps, and the probabilistic model is not changed after encryption. The security of the scheme is tested against the brute force attack and Shannon entropy analysis. In addition, performance analysis such as encryption-decryption efficiency and compression ratio are given.
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一种基于混沌的自适应变异霍夫曼树联合压缩加密方案
提出了一种基于混沌映射的自适应霍夫曼树联合压缩与加密方案。由于自适应霍夫曼编码的固有特性,它允许在传输符号时构建代码,并且可以应用于实时应用。该方案利用两个混沌映射生成的密钥流对自适应霍夫曼树进行突变,加密后不改变概率模型。对方案的安全性进行了蛮力攻击和香农熵分析的测试。此外,还对其进行了加解密效率和压缩比等性能分析。
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