摘要
针对计算机网络信息存在的黑客攻击与篡改、病毒或木马程序入侵与窃取等风险,提出计算机网络信息安全防护方法。以民航空管部门值班记录数据为样本,采用大数据聚类算法,评估其计算机网络信息安全,并对其模拟仿真进行验证。研究结果表明,所提方法较适用于计算机网络安全的非线性特征,能够准确反映算机网络安全运行的状态,从而为防护工作提供了有效的思路与保障。
Aiming at the risks of hacker attack and tampering,virus or Trojan program intrusion and theft exiting in the computer network information,this paper puts forward computer network information security protection methods.It takes the duty record data of the civil aviation air traffic control department as the sample,uses the big data clustering algorithm to evaluate its computer network information security,and verifies it by analog simulation.The research results show that the method proposed in this paper is more suitable for the nonlinear characteristics of computer network security.And it can accurately reflect the safe operation state of computer network,so as to provide effective ideas and guarantee for protection work.
作者
郭畅
GUO Chang(Shenyang Modern Manufacturing Service School,Shenyang 110148,China)
出处
《现代信息科技》
2022年第7期141-143,共3页
Modern Information Technology
关键词
计算机
网络信息
安全防护
聚类算法
computer
network information
safety protection
clustering algorithm
作者简介
郭畅(1981.03-),女,汉族,辽宁沈阳人,高级讲师,本科,研究方向:计算机。
