A research on identification method for WiFi-based home automation device suites

WiFi communication is widely used in home automation. In order to identify home automation device suites from the complex network environment, we employ Bi-flow model based on WiFi traffic model and combine the analysis of clustering algorithm with application-oriented algorithm of traffic identification to do the research in this paper. And then we develop a combined identification method of port number and Packet Payload Length Distribution(PPLD) aiming at the defect of the traditional methods such as statistical characteristics and the signatures of key packets. The experimental results show that the recall, precision and efficiency of the method have greatly improved comparing with the identification method of statistical characteristics and the identification method based on the signatures of key packets.