一种面向云的大数据完整性检测协议  

A Big Data Integrity Checking Protocol for Cloud

作　　者：张也弛[1,2] 周文钦 石润华[1,2] 

机构地区：[1]安徽大学计算智能与信号处理教育部重点实验室,安徽合肥230039 [2]安徽大学计算机科学与技术学院,安徽合肥230601

出　　处：《计算机技术与发展》2014年第9期68-72,共5页Computer Technology and Development

基　　金：国家自然科学基金资助项目(61173187;61173188);安徽省自然科学基金(11040606M141);安徽大学博士科研启动经费项目(33190187);安徽大学"信息安全"新专业项目(17110099)

摘　　要：云计算的出现为计算机的发展提出了一个新的发展方向,但是其中的很多安全问题一直限制着云计算的发展,其中云存储的完整性检测问题最为突出。由于大数据的特性,现有的关于数据完整性检测的协议并不适合大数据的检测。通过对Juels协议的改进,文中提出一种新的更加适合大数据存储的数据完整性检测协议,改进了原有协议只能进行有限次数检测的缺陷,引入了纠删码技术,使得数据的可恢复性得到大幅提升。通过理论分析表明该协议在数据的计算量和用户数据存储量上都有明显优势。With the emergence of cloud computing, a new developing direction of the computer has been pointed out. But there are still some security problems restricting the development of cloud computing, one of the most important which is data integrity checking. The current known protocols for data integrity checking are not suitable for big data which are so large and complex that it becomes difficult to check their integrity. In this paper, a new data integrity checking protocol for big data in the cloud storage is proposed, by improving Juel＇ s protocol in which it only allows the data detection within limited times and bringing in the technology of erasure code to elevate the data＇ s restorability significantly. By theoretical analysis,the protocol proposed is proved to have obvious advantages in data computing and memory space of the users.

关 键 词：云计算 大数据 数据完整性检测 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]