User re-authentication via mouse movements
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security
Keystroke analysis of free text
ACM Transactions on Information and System Security (TISSEC)
Continuous Verification Using Multimodal Biometrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Biometric Technology Based on Mouse Dynamics
IEEE Transactions on Dependable and Secure Computing
Impostor Users Discovery Using a Multimodal Biometric Continuous Authentication Fuzzy System
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
IEEE Transactions on Signal Processing
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Continuous Authentication (CA) departs from the traditional static authentication scheme by requiring the authentication process to occur multiple times throughout the entire logon session. One of the main objectives of the CA process is to detect session hijacking. An important requirement about designing or operating a CA system is the need to achieve the quickest detection while maintaining rates of missed and false detections to predetermined levels. We introduce in this paper a new approach for detection based on the sequential sampling theory that allows balancing appropriately between detection promptness and accuracy in CA systems. We study and illustrate the proposed approach using an existing mouse dynamics biometrics recognition model and corresponding sample experimental data.