117
User Authentication
7. Giot R., and Rosenberger C. A new soft biometric approach for keystroke dynamics based
on gender recognition. International Journal of Information Technology and Management, Special
Issue on Advances and Trends in Biometrics, 11(1/2):1–16, 2012.
8. Epp M.L., and Mandryk R.L. Identifying emotional states using keystroke dynamics. In
Annual Conference on Human Factors in Computing Systems (CHI 2011), May 7–12, Vancouver, BC,
Canada. ACM, New York, pp. 715–724, 2011.
9. Khanna P., and Sasikumar M. Recognising emotions from keyboard stroke pattern. International
Journal of Computer Applications, 11(9):0975–8887, 2010.
10. de Ru W.G., and Eloff J.H.P. Enhanced password authentication through fuzzy logic. IEEE
Expert, 12(6):38–45, 1997.
11. Roy S., Roy U., and Sinha D. Rhythmic password-based cryptosystem. In 2nd International Conference
on Computing and System, University of Burdwan, West Bengal, India, pp. 303–307, 2013.
12. Roy S., Roy U., and Sinha D. Performance perspective of different classifiers on different keystroke datasets. International Journal of New Technologies in Science and Engineering (IJNTSE),
2(4):64–73, 2015.
13. Roy S., Roy U., and Sinha D. Distance based models of keystroke dynamics user authentication. International Journal of Advanced Engineering Research and Science (IJAERS), 2(9):89–94, 2015.
14. Roy S., Roy U., and Sinha D.D. Free-text user authentication technique through keystroke
dynamics. In IEEE International Conference on High Performance Computing & Application
(ICHPCA-2014), IEEE, Bhubaneswar, India, pp. 1–6, 2014.
15. Antal M., Szabó L.Z., and László I. Keystroke dynamics on android platform. Procedia
Technology, 19:820–826, 2015.
16. CENELEC. European Standard EN 50133–1: Alarm systems. Access control systems for use in security applications. Part 1: System requirements, 2002. Standard Number EN50 1 3 3–1: 1 9961A
l: 2002, Technical Body CLClTC 79, European Committee for Electrotechnical Standardization
(CENELEC), UK.
17. Obaidat S., and Sadoun B. Verification of computer users using keystroke dynamics. IEEE
Transactions on Systems, Man, and Cybernetics B, 27(2):261–269, 1997.
18. Ali, W.W., and Salami M.J.E. Keystroke pressure based typing biometrics authentication system by combining ANN and ANFIS-based classifiers. In Proceedings of the 5th International
Colloquium on Signal Processing and Its Applications (CSPA ’09), Kuala lumpur, Malaysia,
pp. 198–203, March 2009.
19. Janakiraman R., and Sim T. Keystroke dynamics in a general setting. In Advances in Biometrics,
Proceedings, vol. 4642, Springer, Berlin, Germany, pp. 584–593, 2007.
20. Jain, A.K. Biometric recognition: How do I know who you are?, In Image Analysis and Processing—
CIAP 2005, F. Roli and S. Vitulano (Eds.), Springer-Verlag, Berlin, pp. 19–26, 2005.
21. Jain A.K., Flynn P., and Ross A.A. Handbook of Biometrics, Springer US, 2008.
22. Jensen R., and Cornelis C. Fuzzy-rough nearest neighbour classification. In Transactions on
Rough Sets XIII. Springer, Berlin, pp. 56–72, 2011.
23. Cornelis, C., De Cock M., and Radzikowska A.M. Vaguely quantified rough sets. In Rough Sets,
Fuzzy Sets, Data Mining and Granular Computing. Lecture Note in Computer Science, Vol. 44, P2
Springer, Berlin, pp. 87–94, 2007.
24. Breiman, L. Random forests. Machine Learning, 45(1):5–32, 2001.
25. Breiman, L. Bagging predictors. Machine Learning, 24(2):123–140, 1996.
26. Peterson L.E. K-nearest neighbor. In Scholarpedia, M. Eugene and Izhikevich (Eds.), Open Access
Encyclopedia 4(2):1883, 2009.
27. Quinlan R. C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo, CA, 1993.
28. Gardner M.W., and Dorling S.R. Artificial neural networks (the multilayer perceptron)—A review
of applications in the atmospheric sciences. Atmospheric Environment, 32(14):2627–2636, 1998.
29. Vapnik V. Statistical learning theory. Wiley, New York, 1998.
30. Koch K.R. Bayes’ Theorem. Springer, Berlin, 1990.
31. Sarkar M. Fuzzy-rough nearest neighbor algorithms in classification. Fuzzy Sets and Systems,
158:2134–2152, 2007.
User Authentication
7. Giot R., and Rosenberger C. A new soft biometric approach for keystroke dynamics based
on gender recognition. International Journal of Information Technology and Management, Special
Issue on Advances and Trends in Biometrics, 11(1/2):1–16, 2012.
8. Epp M.L., and Mandryk R.L. Identifying emotional states using keystroke dynamics. In
Annual Conference on Human Factors in Computing Systems (CHI 2011), May 7–12, Vancouver, BC,
Canada. ACM, New York, pp. 715–724, 2011.
9. Khanna P., and Sasikumar M. Recognising emotions from keyboard stroke pattern. International
Journal of Computer Applications, 11(9):0975–8887, 2010.
10. de Ru W.G., and Eloff J.H.P. Enhanced password authentication through fuzzy logic. IEEE
Expert, 12(6):38–45, 1997.
11. Roy S., Roy U., and Sinha D. Rhythmic password-based cryptosystem. In 2nd International Conference
on Computing and System, University of Burdwan, West Bengal, India, pp. 303–307, 2013.
12. Roy S., Roy U., and Sinha D. Performance perspective of different classifiers on different keystroke datasets. International Journal of New Technologies in Science and Engineering (IJNTSE),
2(4):64–73, 2015.
13. Roy S., Roy U., and Sinha D. Distance based models of keystroke dynamics user authentication. International Journal of Advanced Engineering Research and Science (IJAERS), 2(9):89–94, 2015.
14. Roy S., Roy U., and Sinha D.D. Free-text user authentication technique through keystroke
dynamics. In IEEE International Conference on High Performance Computing & Application
(ICHPCA-2014), IEEE, Bhubaneswar, India, pp. 1–6, 2014.
15. Antal M., Szabó L.Z., and László I. Keystroke dynamics on android platform. Procedia
Technology, 19:820–826, 2015.
16. CENELEC. European Standard EN 50133–1: Alarm systems. Access control systems for use in security applications. Part 1: System requirements, 2002. Standard Number EN50 1 3 3–1: 1 9961A
l: 2002, Technical Body CLClTC 79, European Committee for Electrotechnical Standardization
(CENELEC), UK.
17. Obaidat S., and Sadoun B. Verification of computer users using keystroke dynamics. IEEE
Transactions on Systems, Man, and Cybernetics B, 27(2):261–269, 1997.
18. Ali, W.W., and Salami M.J.E. Keystroke pressure based typing biometrics authentication system by combining ANN and ANFIS-based classifiers. In Proceedings of the 5th International
Colloquium on Signal Processing and Its Applications (CSPA ’09), Kuala lumpur, Malaysia,
pp. 198–203, March 2009.
19. Janakiraman R., and Sim T. Keystroke dynamics in a general setting. In Advances in Biometrics,
Proceedings, vol. 4642, Springer, Berlin, Germany, pp. 584–593, 2007.
20. Jain, A.K. Biometric recognition: How do I know who you are?, In Image Analysis and Processing—
CIAP 2005, F. Roli and S. Vitulano (Eds.), Springer-Verlag, Berlin, pp. 19–26, 2005.
21. Jain A.K., Flynn P., and Ross A.A. Handbook of Biometrics, Springer US, 2008.
22. Jensen R., and Cornelis C. Fuzzy-rough nearest neighbour classification. In Transactions on
Rough Sets XIII. Springer, Berlin, pp. 56–72, 2011.
23. Cornelis, C., De Cock M., and Radzikowska A.M. Vaguely quantified rough sets. In Rough Sets,
Fuzzy Sets, Data Mining and Granular Computing. Lecture Note in Computer Science, Vol. 44, P2
Springer, Berlin, pp. 87–94, 2007.
24. Breiman, L. Random forests. Machine Learning, 45(1):5–32, 2001.
25. Breiman, L. Bagging predictors. Machine Learning, 24(2):123–140, 1996.
26. Peterson L.E. K-nearest neighbor. In Scholarpedia, M. Eugene and Izhikevich (Eds.), Open Access
Encyclopedia 4(2):1883, 2009.
27. Quinlan R. C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo, CA, 1993.
28. Gardner M.W., and Dorling S.R. Artificial neural networks (the multilayer perceptron)—A review
of applications in the atmospheric sciences. Atmospheric Environment, 32(14):2627–2636, 1998.
29. Vapnik V. Statistical learning theory. Wiley, New York, 1998.
30. Koch K.R. Bayes’ Theorem. Springer, Berlin, 1990.
31. Sarkar M. Fuzzy-rough nearest neighbor algorithms in classification. Fuzzy Sets and Systems,
158:2134–2152, 2007.