A Machine Learning Method For Sensor Authentication Using Hidden Markov Models

被引：0
|
作者：
Murphy, Julian [1 ,2 ]
Howells, Gareth [1 ]
McDonald-Maier, Klaus D. [2 ]
机构：
[1] Univ Kent, Sch Engn & Digital Arts, Canterbury, New Zealand
[2] Univ Essex, Sch Comp Sci & Elect Engn, Colchester, Essex, England
来源：
2019 EIGHTH INTERNATIONAL CONFERENCE ON EMERGING SECURITY TECHNOLOGIES (EST) | 2019年
基金：
英国工程与自然科学研究理事会;
关键词：
PROBABILISTIC FUNCTIONS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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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收藏
页数：5
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