A Machine Learning Method For Sensor Authentication Using Hidden Markov Models

Murphy, Julian, Howells, Gareth, McDonald-Maier, Klaus D. (2019) A Machine Learning Method For Sensor Authentication Using Hidden Markov Models. In: Proceddings of Eighth IEEE International Conference on Emerging Security Technologies. . IEEE E-ISBN 978-1-7281-5546-3. (doi:10.1109/EST.2019.8806200) (KAR id:75458)

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Official URL: http://dx.doi.org/10.1109/EST.2019.8806200

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.

Item Type:	Conference or workshop item (Proceeding)
DOI/Identification number:	10.1109/EST.2019.8806200
Uncontrolled keywords:	Cyber security, device authentication, hidden markov models
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Gareth Howells
Date Deposited:	19 Jul 2019 09:52 UTC
Last Modified:	05 Nov 2024 12:39 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/75458 (The current URI for this page, for reference purposes)

University of Kent Author Information

Murphy, Julian.

Creator's ORCID:
CReDIT Contributor Roles:

Howells, Gareth.

Creator's ORCID:	https://orcid.org/0000-0001-5590-0880
CReDIT Contributor Roles:

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