Research On Verifiable Approximate Image Sharing Scheme In Cloud Computing

Along with the rapid development of computer networks and multimedia technologies,image data shows a trend of explosive growth and the traditional data storage mode already cannot meet the actual demands.Cloud computing which provides powerful storage and flexible computing capability to users emerges at the historic moment,and it becomes the focus of academic and business community and has obtained rapid development.At the same time,more and more enterprises and individual users outsource image data to cloud servers.Users are no longer restricted by limited local equipment resources,and they only need to assign heavy computing and storage to the cloud servers by a pay-as-you-go model.However,data outsourcing means that users lose direct control of the data.To prevent data privacy from being disclosed,data should be encrypted before being outsourced to the cloud server.When users need the data stored in the cloud,the cloud server executes the corresponding retrieval under the environment of ciphertext.Due to software errors and hardware failures that may occur in the cloud server and commercial interests,the cloud server may perform partial searching operations.Therefore,the correctness verification of outsourced data retrieval becomes a challenging issue.In this thesis,we study the secure verification issues of outsourcing data.We mainly analyze the existing schemes of correctness verification of outsourcing text data retrieval results.Then we investigate the secure image sharing schemes in cloud computing.We propose a verifiable approximate image sharing scheme in cloud computing.The main contributions of our work are as follows:(1)Under the semi-trusted cloud server model,we propose a verifiable approximate image sharing scheme in cloud computing.By comparing the pixel values of the corresponding position between the cloud image and the local image,we verify that these two images are approximate.Thus,mobile users with resource-constrained devices can avoid uploading local images,and directly share approximate images stored in the cloud.Besides,we solve the problem of the generation of the image key.The key is generated by the user himself,not relying on a trusted third party.(2)We analyze the security of the proposed verifiable approximate image sharing scheme.The security analysis results show that our scheme is secure under the semi-trusted cloud server model.In addition,we simulate the proposed scheme and analyze its efficiency.The experimental results show that the design of the proposed scheme is reasonable,which can efficiently complete the search of SIFT features using for generating key.The verification results conform with the requirements of the design.