计算机与数字工程2019，Vol.47Issue(2)：476-480,5.DOI:10.3969/j.issn.1672-9722.2019.02.044
基于键盘和鼠标击键行为的用户身份识别
User Identification Based on Keyboard and Mouse Keystroke Behavior
郑航 1廖闻剑 2唐楚俏2
作者信息
- 1. 武汉邮电科学研究院 武汉 430074
- 2. 南京烽火软件科技有限公司 南京 210019
- 折叠
摘要
Abstract
Aiming at the security of user information and solving the problem of low feature recognition of single keystrokes,a keying recognition method based on keyboard and mouse is proposed. This method combines the weighted Bayesian and Euclidean distance algorithm by collecting keyboard and mouse keystrokes through user chat and click chat window,so as to realize user identi?fication. The experimental results show that the false acceptance rate FAR and the false rejection rate FRR of the algorithm are 2.64% and 3.38% respectively on the data set of 32 users'real keystroke records. With the control of external environmental factors, the accuracy of the method can be further improved.关键词
身份识别/击键特征/加权贝叶斯/欧式距离/错误接受率/错误拒绝率Key words
user identification/keystroke features/weighted Bayesian/Euclidean distance/false accept rate/false reject rate分类
数理科学引用本文复制引用
郑航,廖闻剑,唐楚俏..基于键盘和鼠标击键行为的用户身份识别[J].计算机与数字工程,2019,47(2):476-480,5.
