在互联网日益发展的今天，网络诈骗随时随处都在发生，犯罪嫌疑人的身份极难识别，给网络诈骗案件的侦破带来了困难。文章以即时聊天工具QQ为例，对网络诈骗嫌疑人身份识别及追踪给出一个完整的解决方案。文章的思路是通过行为特征来进行嫌疑人的身份识别，行为特征指不同人的击键特征，能够高精准地区分不同的人，而且键盘普及率很高，这给系统运行提供了硬件环境。在系统中，文章通过监听用户键盘击键进行击键特征提取，并且引入本地验证和服务器验证对用户进行身份识别，通过IP对疑犯进行定位，从而协助执法人员进行网络诈骗案件的侦查。%In the increasing development of the Internet today, Internet frauds happen everywhere and anytime, to identify the suspect is so dififcult that detect network bilk case brings dififculty. 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.
展开▼
