Abstract:

With the popularization and development of mobile Internet, new applications continue to emerge with wide range of application. Network security and traffic management of the mobile Internet is becoming increasingly important, and its application regulation and flow control is based on mobile application identification. Deep Packet Inspection technology is one of the highest accuracy application layer identification method, which requires accurate application protocol significances, and efficiency and accuracy of generating signatures determine the merits of identification system. Therefore, efficient and accurate automated application signatures extraction has a very important significance. In this paper, the algorithm complexity and sensitivity of the current main signatures extraction algorithms are compared and analyzed; and through experimental studies, the performance simulation results of different algorithms are given respectively, provides a reference for the selection of mobile applications signatures extraction algorithms based on the payload, and has certain guidance value of research and application.

Key words: mobile Internet, application identification, significance extraction, sensitivity, complexity