摘要
[目的/意义]在大数据、云计算和人工智能技术迅猛发展时代,传统以Web应用防火墙、TCP/IP通信协议为主的网络传输控制模式,难以适应海量化用户访问、高吞吐量数据传输的安全控制需求.[方法/过程]从网络计算机软件入侵攻击的安全防御角度出发,依托Hadoop分布式软件架构、HDFS(Hadoop Distributed File System)文件系统、MapReduce编程模型,建立面向计算机网络入侵日志监测分析的安全管理系统.[结果/结论]利用零信任安全模型对不同区域网络访问做出动态授权,使用加密算法(Rivest-Shamir-Adleman,RSA)做出网络计算机传输数据的安全加密/解密操作,最大程度地保障网络计算机软件信道通信传输层、应用层的数据资源访问调用和传输管理安全性.
[Purpose/Significance]In the era of rapid development of big data,cloud computing technology,and artificial intelligence technology,the traditional network transmission control mode mainly based on web application firewalls and TCP/IP communication protocols is no longer suitable for the security control needs of massive user access and high throughput data transmission..[Method/Process]From the perspective of security defense against network computer software intrusion attacks,a security management system for computer network intrusion log monitoring and analysis is established based on the Hadoop distributed software architecture,HDFS(Hadoop Distributed File System)file system,and MapReduce programming model..[Results/Conclusion]Using a zero trust security model to dynamically authorize network access in different regions,and using encryption algorithms(Rivest Shamir Adleman,RSA)to securely encrypt/decrypt data transmitted by network computers,maximizing the security of data resource access and management in the network computer software channel communication transmission layer and application layer.
作者
杨永红
Yang Yonghong(Guangdong Baiyun University,Guangdong Guangzhou 510450)
出处
《网络空间安全》
2024年第4期306-309,共4页
Cyberspace Security
关键词
人工智能
网络安全
防御系统
建构
大数据
artificial intelligence
network security
defense system
construction
big data
作者简介
杨永红(1980-),女,汉族,广东广州人,华南师范大学,本科,广东白云学院,工程师,主要研究方向和关注领域:计算机应用、数据挖掘、人工智能与网络安全。
