Abstract

In this paper we present a novel strategy that utilizes concept drift to improve some biometric procedures. The proposed method can be applied whenever behavioral signals change and those changes need to be detected. From a security point of view, this is important because detection of and appropriate response to change should result in some alteration in the operation of the biometric system. As one example, this allows for the detection of legitimate and illegitimate users.Experiments performed on real biometric signals have demonstrated that the proposed techniques could be introduced into existing professional biometric systems based on behavioral features.

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