摘要
为了更好地解决网络安全态势评估中存在的不确定性和模糊性问题,结合随机过程和云理论,提出了一种基于云模型和马尔科夫链的网络安全态势评估方法。首先建立基于云模型的评估模型,得到实测值和评估值的相对误差范围,然后利用马尔科夫链对相对误差进行修正。结果表明,该方法兼顾了随机性和模糊性而且精度更高,可以较好地评估网络安全态势。
In order to better solve the uncertainties and ambiguities problems in the network security situation assessment,this paper combines the random process with the cloud theory,and proposes a method of network security situation assessment based on cloud model and Markov chain. Firstly,the evaluation model based on cloud model is established,and the relative error range of measured value and evaluation value is obtained. Then the relative error is modified by Markov chain. The result shows that this method takes into consideration both randomness and fuzziness and has higher precision. This method can better evaluate network security situation.
作者
刘浩
刘建华
惠馨雅
LIU Hao;LIU Jianhua;HUI Xinya(Computer College of Xi'an University of Posts and Telecommunications,Xi'an 710061;Xi'an University of Posts and Telecommunications Information Center,Xi'an 710121)
出处
《计算机与数字工程》
2019年第6期1432-1436,共5页
Computer & Digital Engineering
关键词
云模型
马尔科夫链
网络安全
态势评估
cloud model
Markov chain
network security
situation assessment
