A Block Compressed Sensing for Images Selective Encryption in Cloud

作     者：Xingting Liu Jianming Zhang Xudong Li Siwang Zhou Siyuan Zhou Hye-JinKim 

作者机构：College of Computer Science and Electrical EngineeringHunan UniversityChangsha410082China School of Computer and Communication EngineeringChangsha University of Science and TechnologyChangsha410114China Business Administration Research InstituteSungshin W.UniversitySeoul02844Republic of Korea 

出 版 物：《Journal of Cyber Security》 (网络安全杂志（英文）)

年 卷 期：2019年第1卷第1期

页      面：29-41页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0801[工学-力学（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Compressed sensing Image encryption privacy preserving cloud security 

摘      要：The theory of compressed sensing(CS)has been proposed to reduce the processing time and accelerate the scanning *** this paper,the image recovery task is considered to outsource to the cloud server for its abundant computing and storage ***,the cloud server is untrusted then may pose a considerable amount of concern for potential privacy *** to protect data privacy and simultaneously maintain management of the image remains *** by the above challenge,we propose an image encryption algorithm based on chaotic system,CS and image *** our scheme,we outsource the image CS samples to cloud for reduced storage and portable *** privacy,the scheme ensures the cloud to securely reconstruct *** analysis and experiment show the scheme achieves effectiveness,efficiency and high security simultaneously.