No abstract

Based on telecom operators increasingly urgent demand for intelligent pipeline, this paper has proposed a kind of implementing scheme of traffic recognition system in LTE network. Aiming at the traditional monitoring system with poor user perception and insufficient statistical capacity, we achieved a self - learning refining identification system of application layer services, and further analyzed the characteristic of user behavior in mobile network which relying on the traditional monitoring system and applying current prevailing Internet behavior analysis technologies-deep packet inspection (DPI) technique and focused crawler technology.