A multi-technique approach for user identification through keystroke dynamics

Author

Haider, Sajjad ; Abbas, Ahmed ; Zaidi, Abbas K.

Author_Institution

George Mason Univ., Fairfax, VA, USA

Volume

2

fYear

2000

fDate

2000

Firstpage

1336

Abstract

Legitimate user authentication is an important part of the problems related to computer and system security. The maintenance of security becomes even more difficult when an invalid user gets the system access information. The paper presents a suite of techniques for password authentication using neural networks, fuzzy logic, statistical methods, and several hybrid combinations of these approaches. The approaches presented in the paper use typing biometrics of a user, in addition to conventional login information, to identify a user

Keywords

authorisation; fuzzy logic; fuzzy set theory; keyboards; message authentication; neural nets; statistical analysis; word processing; fuzzy logic; hybrid combinations; invalid user; keystroke dynamics; legitimate user authentication; login information; multi-technique approach; neural networks; password authentication; security maintenance; statistical methods; system access information; system security; typing biometrics; user identification; Authentication; Biometrics; Computer networks; Computer security; Delay; Fuzzy logic; Information resources; Information security; Neural networks; Statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 2000 IEEE International Conference on

Conference_Location

Nashville, TN

ISSN

1062-922X

Print_ISBN

0-7803-6583-6

Type

conf

DOI

10.1109/ICSMC.2000.886039

Filename

886039