Title :
AR model for keystroker verification
Author :
Changshui, Zhang ; Yanhua, Sun
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
The fast development of the Internet means that the security problems of information systems become more important. The traditional security mechanisms are not enough. Keystroke dynamics identification is a good means to strengthen the security of the computer and the network. The paper provides a novel method, the AR model to identify keystrokers
Keywords :
authorisation; autoregressive moving average processes; biometrics (access control); message authentication; AR model; Internet; computer security; information systems; keystroke dynamics identification; keystroker identification; keystroker verification; security problems; traditional security mechanisms; Authentication; Biometrics; Computer hacking; Computer networks; Computer security; Hardware; Information security; Internet; Neural networks; Rhythm;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.884437
