A Mixed Chaotic-cellular Automata Based Encryption Scheme for Compressed Jpeg Images

Rabab Beniani, K. Faraoun
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引用次数: 2

Abstract

In this paper, we propose a new scheme for joint compression and encryption of digital images, based on cellular automata and selective encryption of quantized DCT coefficient. Using a key stream by a cellular automata mechanism, a subset of quantized coefficients is selected and then ciphered with the produced pseudorandom key-stream. Thus, we achieve a sufficiently robust security level, mostly against known plaintext attacks while preserving a high compression ratio. Several performance analysis including security analysis, speed performances and compression ratio are performed, and demonstrate the efficacy of the proposed approach with respect to existing ones.
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基于混合混沌元胞自动机的Jpeg压缩图像加密方案
本文提出了一种基于元胞自动机和量化DCT系数选择性加密的数字图像联合压缩与加密方案。利用元胞自动机机制的密钥流,选择量化系数子集,然后用生成的伪随机密钥流进行加密。因此,我们实现了足够健壮的安全级别,主要是针对已知的明文攻击,同时保持了高压缩比。进行了安全性分析、速度性能分析和压缩比分析等性能分析,并证明了该方法相对于现有方法的有效性。
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