基于数据挖掘的自适应网络安全审计系统的研究与实现  

Research and Implementation of Adaptive Network Security Audit System Based on Data Mining

作　　者：邹志博 ZOU Zhibo(North China Institute of Computer System Engineering,Beijing 100083)

机构地区：[1]华北计算机系统工程研究所,北京100083

出　　处：《软件》2022年第10期145-147,共3页Software

摘　　要：随着计算机技术、网络技术的迅速发展,人们对互联网的依赖程度与日俱增,但同时带来的问题也持续增多,如电脑病毒、数据篡改、数据删除和添加、信息泄露和盗用等。随着网络数据量的迅速增长和网络结构的日趋复杂,如何全面、准确、高速地分析审计数据成为当前的一个重要课题。针对这种情况,本文设计了一种基于数据挖掘技术的网络安全审计系统。With the rapid development of computer technology and network technology, people rely on the Internet more and more, but at the same time, the problems are also increasing, such as computer viruses, data tampering, data deletion and addition, information leakage and theft. With the rapid growth of network data volume and the increasingly complex network structure, how to analyze audit data comprehensively, accurately and at high speed has become an important topic at present. In view of this situation, this paper designs a network security audit system based on data mining technology.

关 键 词：数据挖掘 自适应网络 安全审计 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP311[自动化与计算机技术—计算机科学与技术]