摘要
信息网络安全对于互联网办公来说具有十分重要的意义。实时网络安全风险评估作为信息安全的一个关键组成要素,能够对网络资源的安全状态进行有效检测。因此,为了提高互联网环境中办公资源的安全性,提出了一种基于预测模型的网络安全风险在线评估方法。该方法使用期望最大化(expectation and maximization,EM)算法对传统连续时间隐Markov模型进行了改进,以便完成基于预测模型的风险评估。仿真实验结果显示:提出方法能够有效地完成网络安全在线预测。相比其它方法提出方法能够实现较高的准确率和实时性,能够满足互联网环境下的各种信息安全需求。
Information network security is very important for the Internet office.As a key component of information security,real-time network security risk assessment can effectively detect the security status of network resources.Therefore,in order to improve the security of office resources in the Internet environment,an online assessment method of network security risk based on prediction model is proposed.This method uses the expectation and maximization(EM) algorithm to improve the traditional continuous-time hidden Markov model in order to complete the risk assessment based on the predictive model.The simulation results show that the proposed method can effectively complete the network security online prediction.Compared with other methods,the proposed method can achieve high accuracy and real-time to meet the needs of a variety of information security under the Internet environment.
作者
郑红磊
郑重
Hong-lei ZHENG;Zhong ZHENG(Compute Engineering Department,Taiyuan University,Taiyuan 030032,China;Department of Automation,Tsinghua University,Beijing 100089,China)
出处
《机床与液压》
北大核心
2018年第12期100-104,共5页
Machine Tool & Hydraulics
关键词
安全预测
安全风险评估
隐马尔科夫模型
网络攻击
Security prediction
Security risk assessment
Hidden Markov model
Cyberattack