Compressive sensing based image compression-encryption using Novel 1D-Chaotic map
Compressive sensing based image compression-encryption using Novel 1D-Chaotic map
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DOI：
10.1007/s11042-017-5378-2
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发表时间：
2018-08-01
影响因子：
3.6
通讯作者：
Amutha, R.
中科院分区：
文献类型：
--
作者：
Ponuma, R.;Amutha, R.
基于压缩感知的加密通过利用低复杂度采样过程实现同时压缩加密，该过程在计算上是安全的。在本文中，提出了一种新的一维混沌映射，用于构造不相干旋转混沌测量矩阵。对所提出的地图的混沌特性进行了实验分析。使用所提出的图生成的混沌序列对获得的线性测量进行混淆和扩散。基于混沌的测量矩阵构造降低了数据存储和带宽要求。因为它只需要存储生成混沌序列所需的参数。此外，混沌对参数的敏感性使得数据传输更加安全。加密过程中使用的密钥取决于输入数据和用于生成混沌映射的参数。因此，所提出的方案可以抵抗选择明文攻击。所提出方案的密钥空间足够大，足以阻止统计攻击。实验结果和安全性分析验证了所提出的压缩加密方案的安全性和有效性。
Compressive sensing based encryption achieves simultaneous compression-encryption by utilizing a low complex sampling process, which is computationally secure. In this paper, a new novel 1D-chaotic map is proposed that is used to construct an incoherence rotated chaotic measurement matrix. The chaotic property of the proposed map is experimentally analysed. The linear measurements obtained are confused and diffused using the chaotic sequence generated using the proposed map. The chaos based measurement matrix construction results in reduced data storage and bandwidth requirements. As it needs to store only the parameters required to generate the chaotic sequence. Also, the sensitivity of the chaos to the parameters makes the data transmission secure. The secret key used in the encryption process is dependent on both the input data and the parameter used to generate the chaotic map. Hence the proposed scheme can resist chosen plaintext attack. The key space of the proposed scheme is large enough to thwart statistical attacks. Experimental results and the security analysis verifies the security and effectiveness of the proposed compression-encryption scheme.