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2015 | OriginalPaper | Buchkapitel

Single Trial Authentication with Mental Password Writing

verfasst von : Sarah N. Abdulkader, Ayman Atia, Mostafa-Sami M. Mostafa

Erschienen in: Human Aspects of Information Security, Privacy, and Trust

Verlag: Springer International Publishing

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Abstract

This paper presents an authentication system that uses brain waves as a biometric discriminant trait. It utilizes Electroencephalogram (EEG) signals generated from mental writing of the user-owned password. Independent Component Analysis (ICA) and baseline correction has been used for preprocessing and noise removal. The effect of two types of features, multivariate autoregressive (MVAR) model parameters and power spectral density (PSD) features, have been studied for this activity. Performance results based on single trial analysis have revealed that imagined password writing can reach average Half Total Error Rate (HTER) of 5 % for PSD features vs 3 % obtained with MVAR coefficients. The experiments have shown that mental password writing can be used for increasing the user acceptance for enrollment conditions while maintaining high performance results.

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Metadaten
Titel
Single Trial Authentication with Mental Password Writing
verfasst von
Sarah N. Abdulkader
Ayman Atia
Mostafa-Sami M. Mostafa
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-20376-8_1