大数据应用中的数据安全保障策略  

Data Security Strategy in Big Data Application

作　　者：李俊涛[1] LI Juntao(Party School of Qinghai Provincial Committee of CPC,Xining,Qinghai,China 810001)

机构地区：[1]中共青海省委党校,青海西宁810001

出　　处：《湖南邮电职业技术学院学报》2023年第3期49-52,共4页Journal of Hunan Post and Telecommunication College

摘　　要：以大数据应用生命周期为视角,探讨了保障大数据应用安全的技术策略。阐述了大数据生命周期的四个阶段,包括数据采集、存储、分析和应用,介绍了各阶段具体流程。分析了每个阶段面临的安全风险并探讨了相应的安全保障技术,如数据加密、访问控制、安全沙箱等。研究表明,对大数据生命周期实施安全管理,可以有效降低数据泄露、篡改等风险,确保大数据应用的安全性和价值。This paper explores the technical strategies to safeguard big data applications from the perspective of big data application life cycle.It elaborates on the four stages of big data life cycle,including data collection,storage,analysis and application,introduces the specific processes of each stage in detail,and analyzes the security risks faced by each stage and discusses in detail the corresponding security protection technologies,such as data encryption,access control,security sandbox,etc.The research shows that by implementing security management throughout the big data life cycle,risks like data leakage and tampering can be effectively reduced to ensure big data application security and value.

关 键 词：大数据 数据安全 生命周期 安全技术 安全管理 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]