Network Fraud Suspects Tracking System based on Behavioral Biometric Identifi cation
Guo Le · Xinxi wangluo anquan · 2014
In the increasing development of the Internet today, Internet frauds happen everywhere and anytime, to identify the suspect is so diffi cult that detect network bilk case brings diffi culty. This project takes the instant chat tool QQ for example and gives a complete solution for the Internet fraud detection. Through the behavior features of suspects, the project can differentiate different people at the high precision, and keyboard popularity rate is very high, which provides hardware environment for the system operation. In the system, this project extracts keystroke feature by monitoring users' keystrokes, and introduces the local authentication and server authentication to identify users. After positioning for the suspects through the IP, the system assist the police to investigate network fraud cases.