Research of Smart Phone Malware Detection Based on Anomaly Data Flow Monitoring
SU Di-xin · Computers & Security · 2012
The rapid development of Smart Phone and Mobile Communication Technology not only brings terrific convenience and extraordinary user experience,but also creates new secure issues.This paper summarizes the Smart Phone viruses’characteristic and harm and proposes a Smart Phone anomaly data flow and application detection method based on statistical fit,which collects the dataflow and compare them to the fitting curve in real time.The simulation results show that the method proposed in paper can detect the anomaly data flow effectively.