基于人工智能的网络安全管理关键技术  

Key Technologies of Network Security Management Based on Artificial Intelligence

作　　者：邱宏 QIU Hong(School of Intelligent Police Affairs,Chinese People's Police University,Langfang 065000,China)

机构地区：[1]中国人民警察大学智慧警务学院,河北廊坊065000

出　　处：《通信电源技术》2020年第17期136-138,共3页Telecom Power Technology

摘　　要：随着网络技术的发展和网络结构的日益复杂,网络安全性变得越来越重要。检测网络的异常行为和广泛的网络安全管理,是目前重要的网络环节。人工智能理论在网络安全管理方面的应用卓有成效,其中以聚类分析为代表的人工智能技术在网络异常行为检测及安全管理等方面的应用具有重要意义。With the development of network technology and the increasing complexity of network structure,network security becomes more and more important.It is an important network problem to detect the abnormal behavior of the network and to manage the network security more widely.Recently,the application of AI theory in network security management is very effective.It is of great significance to study the application of AI technology represented by clustering analysis in network abnormal behavior detection and security management.

关 键 词：人工智能 网络安全 异常检测方法 信任管理模型 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]