{"title":"A Machine Learning Method For Sensor Authentication Using Hidden Markov Models","authors":"J. Murphy, G. Howells, K. Mcdonald-Maier","doi":"10.1109/EST.2019.8806200","DOIUrl":null,"url":null,"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.","PeriodicalId":102238,"journal":{"name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Eighth International Conference on Emerging Security Technologies (EST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EST.2019.8806200","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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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