Biometrics: advanced identity verification
Biometrics: advanced identity verification
User authentication through keystroke dynamics
ACM Transactions on Information and System Security (TISSEC)
Mining anomalies using traffic feature distributions
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
A New Biometric Technology Based on Mouse Dynamics
IEEE Transactions on Dependable and Secure Computing
User identification based on game-play activity patterns
Proceedings of the 6th ACM SIGCOMM workshop on Network and system support for games
A two-layered anomaly detection technique based on multi-modal flow behavior models
PAM'08 Proceedings of the 9th international conference on Passive and active network measurement
Survey and research direction on online game security
Proceedings of the Workshop at SIGGRAPH Asia
Review: A survey of network flow applications
Journal of Network and Computer Applications
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Recent studies on user identification focused on behavioral aspects of biometric patterns, such as keystroke dynamics or activity cycles in on-line games. The aim of our work is to identify users through the detection and analysis of characteristic network flow patterns. The transformation of concepts from the biometric domain into the network domain leads to the concept of a cybermetric pattern -- a pattern that identifies a user based on her characteristic Internet activity.