| With the development of Internet communication and cloud service technology,it has become easier to transmit and store various information on the Internet.In particular,digital images are extensively used in military,medical and personal communication fields because of their visual and vivid images.Meanwhile,thanks to the evolution of cloud,people are gradually storing images on cloud servers to alleviate the problem of insufficient local storage resources.Therefore,how to protect the secure transmission and storage of personal images on cloud has become a pressing issue.One of the most effective ways to protect images is to encrypt them.Since compressed sensing encryption can realize simultaneous encryption and compression of images,saving transmission bandwidth and storage resources while protecting the security of information,so it has attracted much attention from scholars.Moreover,to prevent the image data stored on the cloud from being tampered with,it is necessary to provide the data authentication function on the cloud while encrypting the images to ensure the authenticity and validity of the received images.Therefore,to protect the security and authenticity of image data transmission on cloud environment,this paper proposes three image secure transmission algorithms based on compressed sensing by combining scrambling,diffusion and authentication algorithms.The main details are as follows:(1)A new image compression and encryption based on CS and DRPE,as well as a joint decryption scheme on the cloud and user are proposed.In the encryption,the plain image is firstly divided into approximate and detail components by DWT,then the approximate component is scrambled,and detail components are compressed using a measurement matrix constructed by the Logistic-tent system.Secondly,the processed approximate and detail components are combined into a complex matrix,and then it is subjected to DRPE to get the phase and amplitude matrices.Afterwards,the resulting matrices are performed random pixel scrambling and diffusion to get the final cipher.During the decryption,the cipher image is partially decrypted on the cloud,and then fully decrypted to recover the plain image on the user side.In addition,by comparing the contour similarity between approximate component and detail component returned to the user to determine whether the cloud is deceiving the user,which can effectively prevents malicious deception of the cloud.The experimental results show that the proposed scheme can effectively improve the image transmission efficiency and confidentiality.(2)A new semi tensor product compressed sensing and hybrid cloud image transmission algorithm is designed,which can guarantee the efficiency,confidentiality and verifiability of image transmission.According to the edge detection,the authentication information is embedded into the insignificant area of the image to protect the authenticity of the data.STP-CS is utilized to measure and encrypt the image,which improves the efficiency of data transmission.To make the image data more secure,an adaptive cyclic shift diffusion algorithm based on chaotic sequence is used to effectively diffuse the measurement results.In addition,the quantized measurements are encoded as tamper-proof authentication.The simulation results prove that the presented scheme can effectively improve the image reconstruction effect,transmission efficiency and security.(3)An effective visually meaningful image encryption and cloud storage scheme is proposed.Firstly,the sensitive and non-sensitive information of plain images are obtained by multi-task convolutional neural network,and the non-sensitive information is compressed by CS to reduce data.Subsequently,after confusion and diffusion of sensitive and non-sensitive information,the secret image sharing(SIS)algorithm is used to decompose these two parts into multiple shadow images to disperse the risk of cipher image loss and resist hacking attacks,such that the original image may be recovered by use of some shadows.Finally,the integer wavelet transform-M-embedding algorithm is used to embed the shadow images into carrier images to get multiple visually meaningful cipher images.Additionally,the authentication information is fused into cipher images to prevent the deception of illegal users and malicious tampering of the cloud platform.Performance analysis shows that the proposed scheme has better confidentiality and security. |
