大数据背景下数据库安全访问技术分析与研究  

Analysis and Research on Database Security Access Technology under the Background of Big Data

作　　者：郭雪 GUO Xue(Zeda Vocational and Technical College,Suqian 223800,China)

机构地区：[1]宿迁泽达职业技术学院,江苏宿迁223800

出　　处：《数字通信世界》2024年第12期129-131,共3页Digital Communication World

摘　　要：大数据时代,数据库安全访问技术面临诸多挑战,如数据规模剧增、类型多样化及网络安全威胁频发。该文重点剖析了多因素身份认证、数据加密脱敏、智能化入侵检测及日志审计等关键技术,并提出技术改进、管理强化及法规完善等优化策略。这些研究对于提升数据库安全访问效率和可靠性、保障大数据安全应用具有深远意义。In the era of big data,database security access technology faces many challenges,such as the dramatic increase in data scale,diverse types,and frequent network security threats.This article focuses on analyzing key technologies such as multi factor identity authentication,data encryption and desensitization,intelligent intrusion detection,and log auditing,and proposes optimization strategies such as technical improvement,management strengthening,and regulatory improvement.These studies have profound significance for improving the efficiency and reliability of database security access and ensuring the secure application of big data.

关 键 词：大数据 数据库 安全访问技术 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]