A Improved Network Risk Assessment Model Based on HMM
In HMM risk assessment of network,relationship between the nodes is the key part to compute the state transition matrix.The change of IDS alarm level has property of randomness.To calculate the value of the IDS alarm as the input of HMM is based on the Bayesian algorithm model.Using HMM model,probability of attack successful is computed when length of attack sequence is varied.The experimental evidences show new method is veracity and validity.
HMM model relationship of nodes bayesian algorithm
Yong Yan Chen Wei Dai
Computer Center.Kunming University of Science and Technology,KUST Kunming,China Computer Technology Application Key Lab of Yunnan Province.Kunming University of Science and Technol
国际会议
杭州
英文
476-479
2013-03-22(万方平台首次上网日期,不代表论文的发表时间)