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• W2567584657 abstract "The rapid momentum in the realization of security solutions, availability of affordable hardware components, and computing devices has led to a tremendous rise in biometric research. However, the threat of spoofing has raised palpable security concerns. In this paper, we examined a recently introduced novel behavioral biometrics technique, namely, fingerprint dynamics. The technique exploits individual's behavioral characteristics observed from multi-instance finger scan events. The objective of this investigation was to study the spoof resistance capabilities of the fingerprint dynamics-based standalone identity verification system. We used a custom-built hardware unit to collect biometric samples from a total of 50 participants, in an environment that closely mimics the operational scenario. Data collection was done in several sessions per user, spread over a period of seven weeks. We performed an exhaustive analysis of several time-derived features, and selected a combination of best-performing features using genetic algorithm. We also conducted a systematic evaluation using support vector machine and k -nearest neighbor classifiers. We performed a series of verification experiments under three different and practically relevant attack scenarios, namely: 1) combined zero-effort and active imposter; 2) only zero-effort imposter; and 3) only active imposter. We find that the proposed technique exhibits promising results under all the three attack scenarios." @default.
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• W2567584657 date "2017-01-01" @default.
• W2567584657 modified "2023-09-25" @default.
• W2567584657 title "Study of Imposter Attacks on Novel Fingerprint Dynamics Based Verification System" @default.
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• W2567584657 doi "https://doi.org/10.1109/access.2016.2646398" @default.
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