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.
WiFi home automation device suites Bi-flow port number Packet Payload Length Distribution
Kefei Cheng Xiaoxia Liu Rui Zhang Feng Lin
College of Computer Science and Technology,Chongqing University of Posts and Telecommunication Chong College of Communication and Information Engineering,Chongqing University of Posts and Telecommunica
国际会议
重庆
英文
835-840
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）