基于大数据技术的计算机网络安全态势感知透析
Analysis of computer network security situation awareness based on big data technology
曹纪磊1
作者信息
- 1. 河南交通技师学院,河南驻马店 463000
- 折叠
摘要
[目的/意义]在大数据和云计算、人工智能技术环境下,计算机网络安全管理迎来了局域网数据信息海量化、网络安全事件频发等的发展趋势,这时基于大数据技术对网络安全态势感知与防护的研究,就显得至关重要.[方法/过程]依托Faster RCNN算法,监测计算机网络的安全态势状态,提取特定类型网络攻击信息.[结果/结论]使用支持向量机做出入侵用户的URL网页访问和登录验证,可以最大程度地提升网络安全态势感知与管理的质量.
Abstract
[Purpose/Significance]The computer network security management in the environment of big data,cloud computing,and artificial intelligence technology has ushered in a development trend of massive LAN data information and frequent network security events.At this time,it is crucial to conduct research on network security situational awareness and protection based on big data technology.[Method/Process]Relying on Faster RCNN(Region Convolutional Neural Networks)convolutional neural network algorithm to monitor the current security situation of computer networks and extract specific types of network attack information.[Results/Conclusion]Using SVM(support vector machine)to perform URL webpage access and login verification for invading users can maximize the quality of network security situational awareness and management.
关键词
大数据/计算机/网络安全/感知策略/人工智能Key words
big data/computer/network security/perception strategy/artificial intelligence引用本文复制引用
出版年
2024
NETL
NSTL
万方数据