基于大数据分析的网络信息安全态势预测方法
The Situation Prediction Method of Network Information Security Based on Big Data Analysis
何永亚1
作者信息
- 1. 湖南软件职业技术大学,湖南 湘潭 411100
- 折叠
摘要
网络中存在着各种恶意攻击,会导致用户个人信息的泄露,威胁用户的网络安全.为此,提出基于大数据分析的网络信息安全态势预测方法.采集网络安全数据信息,通过关联分析对其进行归一化处理,以此计算每项安全措施的风险值.在网络安全事件风险值的基础上,结合大数据分析计算网络安全态势的预测值,从而实现基于大数据分析的网络信息安全态势预测.实验结果表明,所提方法的平均网络信息安全态势预测时间仅为 22.117 s,说明所提方法能够提高网络信息安全态势预测效率.
Abstract
There are various malicious attacks on the network that can lead to the leakage of users'personal information and threaten their network security.Therefore,a network information security situation prediction method based on big data analysis is proposed.Collect network security data information,normalize it through correlation analysis,and calculate the risk value of each security measure.Based on the risk value of network security events,combined with big data analysis to calculate the predicted value of network security situation,thus achieving network information security situation prediction based on big data analysis.The experimental results show that the average network information security situation prediction time of the proposed method is only 22.117 seconds,indicating that the proposed method can improve the efficiency of network information security situation prediction.
关键词
大数据分析/网络信息安全/态势预测/模糊分割/归一化处理Key words
big data analysis/network information security/situation prediction/fuzzy segmentation/normalization processing引用本文复制引用
出版年
2024
NETL
NSTL
万方数据