Abstract

On the problem of data quantity in anomaly detection, traditional dendritic cell algorithms should be improved by proposing an antigen data preprocessing method which introduced suspected abnormal base. The abnormal data should be judged with high efficiency in the shortest time possible by double anomaly detection. First of all, set of the original data should be preprocessed into individual antigen, and was matched with the suspected abnormal base to conduct the first anomaly detection. Then a double anomaly detection should be conducted by dendritic cell algorithm and the intensity of anomaly be judged according to the dynamic anomaly index. Experiments show that this algorithm produces better effect on both time and accuracy.

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