Abstract: As a novel artificial immune system algorithm, DCA is an innate immune system cells heuristic algorithm generally used in intrusion detection and anomaly detection. DCA has been used in computer network, wireless sensor network, real-time embedded system and robotics. The algorithm get high detection rate. DCA is showing promise in these fields. DCA is designed by imitating the function of dendritic cell. Dendritic cells posses the capability of information sampling, information processing, information fusion and information analyzing. DCA also has the capability of data fusion. This paper proposes a DCA based data fusion model, the DCADF model. The system architecture and components of the model is presented. The general process to solve practical problem with DCADF model is described. The DCADF model is compared with common data fusion model. The system architecture and functions, and the characteristics of DCADF model are analyzed. The common characteristics and differences of the two models are explained. Possible application scenarios are introduced. The proposed data fusion method is applied to intranet SYN Flood attacking host detection experiments, the attacking host is successfully detected. The results of the simulation show that the model is viable. This paper provides a new method and idea for data fusion.