%0 Journal Article
%T Attack prediction model based on dynamic bayesian games<br>基于动态贝叶斯博弈的攻击预测模型
%A CAO Hui
%A WANG Qing-qing
%A MA Yi-zhong
%A LUO Ping
%A <br>曹晖
%A 王青青
%A 马义忠
%A 罗平
%J 计算机应用
%D 2007
%I 
%X This paper described an attack prediction model based on dynamic bayesian games. According to the historical behaviors of the attacker, this model reasonably updates the probability of malicious nodes existing in the network by using bayesian law, with which it can predict the probability of attacks or defenses that rationale attacker or defender will take in the next stage of the game, in order to maximize their payoff. Thus the result can be used to assist security administrators to configure the network system. It may change the passive detection to the active protection for the defender. This paper also presented the process of experiment and analysis result for validity of the model.
%K dynamic bayesian game
%K attack prediction
%K intrusion detection<br>动态贝叶斯博弈
%K 攻击预测
%K 入侵检测
%K 动态
%K 贝叶斯
%K 博弈
%K 预测模型
%K bayesian
%K dynamic
%K based
%K prediction
%K model
%K 有效性
%K 验证
%K 结果分析
%K 实验过程
%K 检测
%K 参考依据
%K 价值
%K 安全配置
%K 管理员
%K 网络安全
%K 预测结果
%K 选择
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512FF7C6D79C75FE769&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=05487D1A4AAEBAA6&eid=D9E4B4338A9AF29A&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=9