一种基于可信策略的云存储持久性检测方法

Method of cloud storage persistence detection based on trust policy

如何确保存储在云端的数据不丢失、不被窜改,是云存储提供商及用户共同关注的问题。云存储持久性是一个对云存储性能优劣进行评估测量的重要指标。基于对现有服务等级协议(service-level agreement,SLA)的调研与分析,针对目前云存储持久性定义不完善,且缺乏客观的第三方检测工具的问题,分别从概念描述与形式化表达两个角度进一步规范了云存储持久性的定义;为了保证被检测数据的真实性及检测过程的客观性,提出一种综合随机检测数、随机检测序列、MD5及秘钥的可信检测算法,并设计实现了对应的检测工具。实验结果显示,该算法的查全率和准确率都达到了100%,验证了算法的有效性和可靠性,实现了基于可信策略的云存储持久性检测,为进一步的研究打下了基础。

How to ensure that the data stored in the cloud will not be lost,and will not be tampered is concerned by both cloud storage providers and users.Cloud storage persistence is an important metric for evaluating cloud storage performance.Based on the research and analysis of the existing service level agreement （SLA）,this paper analyzed the problem that the current definition of cloud storage persistence was imperfect,and the lack of objective third-party testing tools,and respectively,from the angles of abstract conceptual description and formal expression,it further regulate the definition of cloud storage persistence.Furthermore,in order to ensure the authenticity of the detected data and the objectivity of the detection process,this paper presented a trusted detection algorithm that combines random detection numbers,random detection sequences,secret keys,and MD5,and finally achieved an effective detection tool.Experimental results show that the algorithm of the recall rate and accuracy rate of 100%,and verifies the validity and reliability of the algorithm.It realizes the cloud storage persistence detection based on trusted strategy,which lays the foundation for further research.