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A Machine Learning Method for Sensor Authentication Using Hidden Markov Models

International Conference on Emerging Security Technologies(2019)

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Abstract
A machine learning method for sensor based authentication is presented. It exploits hidden markov models to generate stable and synthetic probability density functions from variant sensor data. The principle, and novelty, of the new method are presented in detail together with a statistical evaluation. The results show a marked improvement in stability through the use of hidden markov models.
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Key words
machine learning method,sensor based authentication,hidden markov models,stable probability density functions,synthetic probability density functions,variant sensor data,sensor authentication
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