Improvement of keystroke data quality through artificial rhythms and cues

Computers and Security

Volumn 27, Issue 1-2, 2008, Pages 3-11

  Kang, Pilsung ^a   Park, Sunghoon ^a   Hwang, Seong seob ^a   Lee, Hyoung joo ^a   Cho, Sungzoon ^a  

^a Seoul National University   (South Korea)

Author keywords

Artificial rhythms; Cues; Data quality; Keystroke dynamics; Password authentication

Indexed keywords

AUTHENTICATION;

DATA QUALITY (DQ); ELSEVIER (CO); EXPERIMENTAL RESULTS; HIGH PERFORMANCE; KEYSTROKE DYNAMICS; PASSWORD BASED AUTHENTICATION; QUALITY OF DATA; USER AUTHENTICATION;

ACCESS CONTROL;

EID: 44849117259     PISSN: 01674048     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cose.2008.02.001     Document Type: Article

References (13)

1. Bergadano F., Gunetti D., and Picardi C. User Authentication through keystroke dynamics. ACM Transactions on Information and System Security 5 4 (2002) 367-397
2. Bleha SA, Knopp J, Obaidat MS. Performance of the perceptron algorithm for the classification of computer users. In: Proceedings of the 1992 ACM/SIGAPP symposium on applied computing: technological challenges of the 1990's; 1992. p. 863-6.
3. Bishop C.M. Neural networks for pattern recognition (1995), Clarendon Press, Oxford
4. Cho S., Han C., Han D., and Kim H. Web-based keystroke dynamics identity verification using neural network. Journal of Organizational Computing and Electronics Commerce 10 4 (2000) 295-307
5. Cho S., and Hwang S. Artificial rhythms and cues for keystroke dynamics based authentication. Lecture Notes in Computer Science 3832 (2006) 626-632
6. Clarke N.L., Furnell S.M., Lines B.M., and Reynolds P.L. Keystroke dynamics on a mobile handset: a feasibility study. Information Management and Computer Security 11 4 (2003) 161-166
7. Clarke N.L., Furnell S.M., Rodwell P.M., and Reynolds P.L. Acceptance of subscriber authentication methods for mobile telephony devices. Computers and Security 21 3 (2002) 220-228
8. Gaines R., Lisowski W., Press S., and Shapiro N. Authentication by keystroke timing: some preliminary results. Rand Report R-256-NSF (1980), Rand Corporation, Santa Monica, CA
9. Leggett J., and Williams G. Verifying identity via keystroke characteristics. International Journal of Man-Machine Studies 28 1 (1988) 67-76
10. Obaidat MS. A verification methodology for computer systems users. In: Proceedings of the 1995 ACM symposium on applied computing; 1995. p. 258-62.
11. Peacock A., Ke X., and Wilkerson M. Typing patterns: a key to user identification. IEEE Security and Privacy 2 5 (2004) 40-47
12. Umpress D., and Williams G. Identity Verification through keyboard characteristics. International Journal of Man-Machine Studies 23 3 (1985) 263-273
13. Vapnik V.M. The nature of statistical learning theory (1999), Springer-Verlag