A Compression-Encryption Hybrid Algorithm Based on Compressive Sensing

摘要：

　　This paper introduces a simple and effective image encryption algorithm based on Compressive Sensing.Firstly, in order to obtain the sparse matrix of the plain image, we select the dual tree complex wavelet to transform the plain image into frequency domain and then we take noise shaping (NS) to make the sparse matrix coefficient more concentrated.Secondly, we use logistic and sine chaotic map system (LSS) to generate an encrypted measurement matrix.Finally, the sparse matrix and the encrypted measurement matrix are used to make a compression sensing operation.In order to improve the security of the proposed algorithm, we divide the resulting ciphertext into four parts and then use Arnold and LSS system (ALS) to encrypt them twice.Experiments and security analysis demonstrate the algorithms excellent performance in image encryption and various attacks.

关键词： Compressive Sensing Chaotic System DT-CWT

作者: Changzhi Yu Hengjian Li Jiwen Dong

作者单位: Department of Computer Science and Technology Shandong Provincial Key Laboratory of Network based Intelligent Computing University of Jinan University of Jinan, Jinan City,Shandong Province, China

会议类型: 国际会议

会议名称: 2018 6th International Conference on Bioinformatics and Computational Biology(ICBCB 2018)(第六届生物信息学与计算生物学国际会议)

会议地点: 成都

会议语种:英文

页码: 114-120

在线出版日期: 2018-03-12（万方平台首次上网日期，不代表论文的发表时间）