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Continuous Multimodal Biometric Authentication for PC and Handheld Devices

Abstract Today’s conventional verification system for accessing PC and handheld devices does not incorporate any post login verification. This type of system fails to address risk involved after the initial login session. With increasing personalization of computing devices, the risk extends from the erstwhile focus on malafide intervention to the issue of improper personalization of data generated out of cooperative or inadvertent intervention. Thus to ensure authenticity of the user during their entire active login period, a continuous verification is required. The current paper considers continuous unobtrusive biometric authentication technology as an approach to eliminate this problem. It also analyzes additional requirements for the unobtrusive and continuous nature of the verification system- namely unavailability of any specific modality at a given time, performance under fluctuating quality of measurable parameters and different fusion scenarios for modalities. Finally, it provides a brief framework of continuous multimodal biometric authentication using passive modalities - namely face identification, keystroke dynamics, mouse dynamics, and fingerprint which are suitable for unobtrusive continuous authentication.