面向医疗大数据的网络数据安全存储检索系统的设计及实验分析  

Design and Experimental Analysis of Network Data Safe Storage and Retrieval System for Medical Big Data

作　　者：金山 Jin Shan(Clinical Oncology School of Fujian Medical University,Fujian Cancer Hospital,Fuzhou,China)

机构地区：[1]福建医科大学肿瘤临床医学院福建省肿瘤医院,福建福州

出　　处：《科学技术创新》2023年第8期96-99,共4页Scientific and Technological Innovation

摘　　要：随着智慧医疗的成熟发展,如何实现海量医疗数据的安全存储、高效检索、整合利用成为热门研究课题。本文设计了一种面向医疗大数据的网络数据安全存储检索系统,该系统由分类模块、安全模块、存储模块和检索模块四部分构成,可以将客户端接收的原始医疗数据进行分类后加密存储,保证数据安全性。利用Hash表中的key值读取文件并精准获取符合检索条件的医疗数据,提高了检索效率。从实验结果来看,本文设计的安全存储检索系统,相比于传统的HDFS直接存储方式,能够将数据检索效率提升4~10倍,节约了大量的检索时间;同时,使用访问权限认证和AES加密算法双重保护,确保了医疗数据的安全性,实验效果符合设计预期。With the mature development of intelligent medicine,how to realize the safe storage,efficient retrieval,integration and utilization of massive medical data has become a hot research topic.This paper designs a network data security storage and retrieval system for medical big data.The system consists of classification module,security module,storage module and retrieval module,which can classify and encrypt the original medical data received by the client to ensure data security.The key values in the Hash table are used to read files and accurately obtain medical data matching the search conditions,which improves the retrieval efficiency.According to the experimental results,the safe storage and retrieval system designed in this paper can improve the efficiency of data retrieval by 4 to 10 times and save a lot of retrieval time compared with the traditional HDFS direct storage.At the same time,access authentication and AES encryption algorithm are used to ensure the security of medical data,and the experimental results meet the design expectations.

关 键 词：医疗大数据 数据安全存储检索系统 HASH表 访问控制 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TP393.08[自动化与计算机技术—计算机科学与技术]