Suction fee of intelligent mobile phone malware in the mobile internet era causes complaints increasing and decline of customer perception. This paper proposes a mobile phone virus active monitoring system based on network data. The system provides statistics of mobile phone getting virus and analysis of virus trend separating it into sub city

terminal brand

virus and so on through collection

mining and integration of network data. Applications show that it can provide accurate and efficient verification results

and provide a feasible technical means to reduce the volume of complaints

improve customer perception and carry out active customer care. It can be further applied to the mobile phone virus analysis and monitoring in long-term evolution network.