大数据环境下计算机网络信息安全防护技术在电商平台的应用  

Application of Computer Network Information Security Protection Technology in E-commerce Platforms Under the Big Data Environment

作　　者：徐婧 张洋子 XU Jing;ZHANG Yangzi(Zhengzhou Professional Technical Institute of Electronic&Information,Zhengzhou 451450,China)

机构地区：[1]郑州电子信息职业技术学院,郑州451450

出　　处：《移动信息》2025年第3期204-206,215,共4页Mobile Information

摘　　要：随着电商平台的快速发展,信息安全问题变得愈发重要。在大数据环境下,传统的信息安全防护技术面临着新的挑战。文中探讨了基于大数据的电商平台信息安全防护技术,探讨了大数据安全架构设计、威胁情报分析、用户行为检测和动态风险评估,并结合实际场景进行了实验与分析。研究表明,基于大数据的安全防护技术能有效提高电商平台的防护能力,显著降低恶意攻击对平台的威胁,同时保障数据的完整性与用户信息的安全性。With the rapid development of e-commerce platforms,information security issues have become increasingly important.In the big data environment,traditional information security protection technologies are facing new challenges.This paper discusses the information security protection technology of e-commerce platforms based on big data,discusses the design of big data security architecture,threat intelligence analysis,user behavior detection and dynamic threat and risk assessment,and conducts experiments and analyses in combination with actual scenarios.The research shows that the security protection technology based on big data can effectively improve the protection ability of e-commerce platforms,significantly reduce the threat of malicious attacks to the platform,and at the same time ensure the integrity of data and the security of user information.

关 键 词：电商平台 大数据 信息安全 防护技术 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]