大数据背景下的计算机网络安全防御技术
Computer Network Security Defense Technology under the Background of Big Data
王少辉1
作者信息
- 1. 郑州工业应用技术学院,河南郑州 451100
- 折叠
摘要
为提升计算机网络安全防御能力,探讨大数据背景下的计算机网络安全防御策略,文章首先采用基于改进模糊C均值(Fuzzy-c means,FCM)聚类算法的大数据技术对计算机网络安全数据进行聚类处理,其次对完成聚类的数据展开超混沌加密,从而实现计算机网络安全防御,最后通过实验验证了该技术的防御效果,旨在为相关领域的从业人员和研究人员提供参考和借鉴,以促进计算机网络安全防御技术的进一步发展.
Abstract
In order to improve the computer network security defense capability,this paper discusses the computer network security defense technology under the background of big data.The paper firstly adopts big data technology based on improved Fuzzy c means(FCM)clustering algorithm to cluster computer network security data,and then expands the super chaotic encryption of the clustered data,so as to realize the computer network security defense.Finally,the defense effect of this technology is verified through experiments,aiming to provide reference for practitioners and researchers in related fields,so as to promote the further development of computer network security defense technology.
关键词
大数据/计算机网络/安全防御技术/改进FCM聚类算法/超混沌密钥Key words
big data/computer network/security defense technology/improved FCM clustering algorithm/super chaos key引用本文复制引用
出版年
2024
NETL
NSTL
万方数据