Research And Application Of Data Security Technology For Cloud Storage

Cloud storage is a new storage mode derived from cloud computing,which can provide users with low-cost,high-quality,on-demand data storage services.However,the frequent occurrence of cloud storage security incidents indicates that cloud storage services not only bring great convenience to users,but also make user data have more security risks.The security of data in cloud storage has become one of the important factors that restrict the development of cloud storage.Therefore,it is of great significance to study the security mechanism of user data in cloud environment for the development of cloud storage.Based on the application background of data security requirement in a foreign trade platform system,this paper mainly studies and analyses data confidentiality protection,access control and integrity verification,and achieves data security storage and access.The main research contents are as follows:(1)Aiming at the problems of single encryption algorithm and weak data confidentiality in traditional cloud storage encryption schemes,a method of data confidentiality protection is proposed.Before data upload,data is reorganized into blocks and cross-encrypted.Compared with traditional schemes,this method effectively improves the confidentiality of user data in cloud storage.(2)Aiming at the problems of weak data security and slow processing speed in existing access control strategies,an access control method for attribute encryption of metadata is proposed.Only users who satisfy the access conditions can decrypt and obtain metadata,and then decrypt the accessed data through the data parameters in the metadata,which realizes the multi-level protection of data in cloud storage and effectively improves the speed of access control processing.(3)An improved data integrity verification method is proposed.By introducing LBT data structure and aggregating data blocks,the height of authentication data structure is reduced,and the number of data tags and the computing path of root nodes are reduced.It effectively reduces the storage and computing overhead in the integrity verification process.