数据挖掘技术在计算机网络病毒防御中的实践应用
The Practical Application of Data Mining Technology in Computer Network Virus Defense
吕敬兰1
作者信息
- 1. 贵州农业职业学院,贵州 贵阳 551403
- 折叠
摘要
随着互联网的普及和深入发展,计算机网络病毒已经成为威胁网络安全的重要因素.传统的病毒防御方法,如防火墙、入侵检测系统等,在面对复杂多变的网络病毒时显得力不从心.数据挖掘技术作为一种从海量数据中提取有用信息的方法,为计算机网络病毒防御提供了新的思路.该文将从数据挖掘技术的原理、方法及其在计算机网络病毒防御中的实践应用等方面进行探讨.
Abstract
With the popularization and in-depth development of the Internet,computer network viruses have become an important factor threatening network security.Traditional virus defense methods,such as firewalls and intrusion detection systems,appear inadequate when facing complex and ever-changing network viruses.Data mining technology,as a method of extracting useful information from massive data,provides new ideas for computer network virus defense.The article will explore the principles,methods,and practical applications of data mining technology in computer network virus defense.
关键词
数据挖掘/计算机网络病毒/防御Key words
data mining/computer network viruses/defense引用本文复制引用
出版年
2024
NETL
NSTL
万方数据