Algorithm of Network Video Stream Recognition and Classification Based on Multi-Pattern Matching
Sun Qin-dong①②; Guo Xiao-jun①; Huang Xin-bo③
①Key Lab for Network Computing and Security of Shaanxi Province, Xi’an University of Technology, Xi’an 710048, China;②MOE Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an 710049, China;③College of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, China
Abstract:Identifying video stream quickly from the network flow is the foundation and prerequisite of network video surveillance and management. According to the analysis of characteristics of network video streams, a fast recognition and classification algorithm of network video stream based on multiple pattern matching is proposed, which constructs the matching machine with the features of different video streams. The proposed algorithm could determine whether the network packet contains video stream and type only by one incomplete scan. The experimental results show that the proposed algorithm has higher efficiency than traditional protocol analysis method under the requirement of accuracy.