At present, the MD5 based data encryption algorithm for wireless network mobile communication cannot effectively detect the intrusion data in the mobile communication. Redundant data is not removed, the efficiency of data encryption is low, and the overall communication security is poor. In this paper, a MDEA based data encryption algorithm for wireless network mobile communication is proposed. By applying normalization of communication data to DBN model, using the way of changing one parameter while keeping others, the optimal DBN detection model is built to achieve high-precision detection of intrusion data. Using the signal intensity at different times, the speed and process time of the data level movements are estimated. By estimating the results, the redundant data and inappropriate data are removed, and performed the MDEA operation based on the secret data, introduced random numbers and timestamps to prevent the foreign infiltrations. Experiments show that the algorithm can not only improve the detection quality of intrusion data, but also enhance the cleaning effect of redundant data and in the communication, and enhance data security. 2010 Mathematics Subject Classification. 19J25.