Development of Data Authenticity Verification System in Regional Health Information Network
A diverse child nodes hash tree method was proposed to make the digest structure more flexible, improving the data authenticity verification efficiency in regional health information network which has a great number of medical documents. The new hash tree method changes the former hash list from onelayer digest to a tree structure, using category search to enormously accelerate verification processes, and locating multi-error file at the same time. According to the current hardware, we designed experiments to obtain the curves of hash tree computing time-child nodes and hash tree verification time-child nodes. Based on the two curves, a weight analysis method was proposed to determine the number of child nodes, making the entire system more efficient. By increasing a small amount of data redundancy, the diverse child nodes hash tree method greatly enhances the verification efficiency.
ZHOU Tian-shu LI Jing-song ZHANG Xiao-guang HU Zhen YU Hai-yan CHEN Huan
Healthcare Informatics Engineering Research Center, Zhejiang University, Hangzhou, 310027,China Healthcare Informatics Engineering Research Center, Zhejiang University, Hangzhou, 310027, China
国际会议
2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)
济南
英文
105-110
2009-08-14（万方平台首次上网日期，不代表论文的发表时间）