基于人工智能的网络空间防御技术  

Cyberspace Defense Technology Based on Artificial Intelligence

作　　者：赵宾华 杨国瑞[1] 贾哲 ZHAO Binhua;YANG Guorui;JIA Zhe(The 54th Research Institute of CETC,Shijiazhuang 050081,China)

机构地区：[1]中国电子科技集团公司第五十四研究所,河北石家庄050081

出　　处：《计算机与网络》2021年第12期57-60,共4页Computer & Network

摘　　要：网络空间是信息化战争独立的作战域,该领域的网络攻防行动快速但会产生海量的网络事件,对传统的点对点防御理念和堡垒式安全防御体提出了巨大挑战,人工智能和深度学习是未来网络空间防御的一个重要研究方向。在阐述传统网络防御模式和人工智能在网络防御的研究现状基础上,提出并设计了基于人工智能的网络安全防御系统,重点阐述了对网络协议攻击、入侵检测、网络异常行为的检测方案,分析了基于人工智能的网络防御系统的优势以及未来前景。The military cyberspace is an independent combat domain for information warfare.The cyber attack and defense actions in this filed is fast and can produce a large number of network events,that presents great challenges to the traditional point-to-point defenses concept and fortress security defense systems.The technology of artificial intelligence and deep learning is an important research direction of cyber defense.On the basis of expounding the traditional cyber defense and the research status of artificial intelligence in cyber defense,the network defense system based on artificial intelligence is proposed and designed,and the network protocol attacks,intrusion detection,and network anomaly detection scheme are expounded in detail.At last,the advantages of network defense system based on artificial intelligence and the future prospects are analyzed.

关 键 词：人工智能 网络防御 入侵检测 深度学习 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]