Verifying identity via keystroke characteristics
International Journal of Man-Machine Studies
Identity authentication based on keystroke latencies
Communications of the ACM
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
User identification via keystroke characteristics of typed names using neural networks
International Journal of Man-Machine Studies
Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
Applications of keystroke analysis for improved login security and continuous user authentication
Information systems security
Authentication via keystroke dynamics
Proceedings of the 4th ACM conference on Computer and communications security
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
User authentication through keystroke dynamics
ACM Transactions on Information and System Security (TISSEC)
Enhanced Password Authentication through Fuzzy Logic
IEEE Expert: Intelligent Systems and Their Applications
Keystroke Analysis as a Method of Advanced User Authentication and Response
SEC '02 Proceedings of the IFIP TC11 17th International Conference on Information Security: Visions and Perspectives
Keystroke analysis of free text
ACM Transactions on Information and System Security (TISSEC)
Fusion of Methods for Keystroke Dynamic Authentication
AUTOID '05 Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
Artificial rhythms and cues for keystroke dynamics based authentication
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Verification of computer users using keystroke dynamics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
User Identification Based on Handwritten Signatures with Haptic Information
EuroHaptics '08 Proceedings of the 6th international conference on Haptics: Perception, Devices and Scenarios
Homogeneous physio-behavioral visual and mouse-based biometric
ACM Transactions on Computer-Human Interaction (TOCHI)
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Keystroke authentication is a biometric method utilizing the typing characteristics of users. In this paper, we propose an evolutionary method for stable keystroke authentication. In the method, typing characteristics of users are represented by n-dimensional vectors and an ellipsoidal hypothesis space, which distinguishes a collection of the timing vectors of a user from those of the others, is evolved by a genetic algorithm. A filtering scheme and an adaptation mechanism are also presented to improve the stability and effectiveness of the proposed method. Empirical results show that the error rates of our method for authentication are reasonably small.