Research on Prediction of Threshold Values in DCA Intrusion Detection Algorithm based on Danger Theory

The latest research result of artificial immune dangerous theory is Dendritic Cell Algorithm(DCA).The algorithm has more superior performance when being applied in real-time intrusion detection.This algorithm calculates the Mature Context Antigen Value(MCAV) to define abnormal degree.This paper presents an Improved DCA model;the threshold range of algorithm parameters has been predictably controlled.Experimental results show that the new algorithm makes the DCA abnormal measurement more precise and the detection accuracy rate is improved by 21.3%~33.5%.