Based on multi-sensor data fusion technology

a new intrusion detection data fusion model-IDSFP was pre-sented.The model was characterized by correlating and merging alerts of different types of IDS

generating the measures of the security situation

thus constituting the evidence.Current security situation of network was evaluated by applying the D-S evidence theory

and various IDS of network were adjusted dynamically to strengthen the detection of the data which relates to the attack attempt.Consequently

the false positive rate and the false negative rate are effectively reduced

and the detection efficiency of IDS is accordingly improved.