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In this paper, we present an approach for designing security warnings in vehicles for software based security incidents. With this we pursue the goal of reducing safety relevant component failures, which can be caused by manipulated or malicious software. The basis of our work is a theoretical analysis of the correlation of manipulated software (including(More)
A statistical analysis using the univariate, multifactorial analysis of variance (ANOVA) is used in this paper to investigate the impact of selected noise characteristics (here a 4-factorial design: amplitude, complexity, harmony and fundamental frequency) to speech signals and consecutively to the detection performance in speaker recognition systems(More)
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