Intrusion Risk Assessment Method of Representing Danger Signal with Cloud Model
Pei Chun Fang · Jisuanji gongcheng · 2012
This paper proposes a negative selection and danger-theory based assessment method for network risk is proposed.The danger signal is presented using cloud model.The antigen and antibody and their match are formulated.An improved backward cloud algorithm is used to produce the cloud numerical characteristics for assessment indicators of network risk.Experimental results prove that the proposed method can detect the intrusion attacks more effectively and reduce the alarm rate,then evaluate the network risk more credibly.