Cloud Cyberspace Privacy Big Data Security Protection Algorithm
Cloud storage of data liberates the limitations of local storage and has strategic significance.However,as the amount of data increases,cloud servers are vulnerable to internal and external attacks,leading to a sharp de-cline in data security.To improve the information security and operational convenience of cloud storage systems,a UCDA system model based on quaternary entities has been constructed.Firstly,the traditional Hadoop system security risk items are evaluated by the way of system security analysis,and some methods to improve the security are given;Based on the four-entity structure of Users,Cloud,Data Owner and Authorization Center,the UCDA system model is constructed to enhance the security of data cloud storage,and then the CAA security scheme is used to evaluate the security of the UCDA system model;Finally,the experiment of downloading and deleting private data files is carried out on the storage system.The simulation results of multi-file combination download show that,compared with DaSCE system and UKC system,the UCDA system reduces the average download overhead time by 4.83%when downloading medium and large files,and its response speed is the fastest;the simulation results of privacy data security deletion show that the UCDA system has the highest security and the fastest deletion response efficiency.To sum up,the UC-DA cloud storage system model constructed in this paper communicates the relationship between Users and Cloud through Authorization Center and Data Owner,which effectively improves the security of private data and the portabili-ty of system operation,and has certain research significance in the field of big data security simulation.
万方数据
维普
