通信数据中的异常模式挖掘及其在网络安全中的应用
Anomaly Pattern Mining in Communication Data and Its Application in Network Security
孙剑钢 1曾晨煌1
作者信息
- 1. 杭州百恒网络科技有限公司,浙江杭州 310000
- 折叠
摘要
本研究致力于研究通信数据中异常模式挖掘技术的应用.文章设计了一个全面的异常模式挖掘系统,选择正态分布作为概率模型,并详细介绍了数据采集、预处理和异常模式检测等算法的实现.在网络安全方面,强调了实时监测与防御、行为分析、流量分析以及追踪不寻常活动等关键应用场景.研究成果为异常模式挖掘技术在网络安全领域的应用提供了有力支持,具有积极的推动意义.
Abstract
This research is devoted to the application of abnormal pattern mining technology in communication data.In this paper,a comprehensive abnormal pattern mining system is designed,and the normal distribution is selected as the probability model,and the realization of data acquisition,preprocessing and abnormal pattern detection algorithms is introduced in detail.In the aspect of network security,the key application scenarios such as real-time monitoring and defense,behavior analysis,traffic analysis and tracking unusual activities are emphasized.This paper provides strong support for the application of abnormal pattern mining technology in the field of network security,and has positive promotion significance.
关键词
数据通信/异常模式挖掘/网络安全/正太分布概率模型Key words
communication data/anomaly pattern mining/network security/normal distribution probability model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据