Skip to main content

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 978-1-72815-546-3. (doi:10.1109/EST.2019.8806200) (KAR id:75458)

PDF Author's Accepted Manuscript
Language: English
Download (239kB) Preview
[thumbnail of EST_2019_J_MURPHY.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL


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: 16 Feb 2021 14:06 UTC
Resource URI: (The current URI for this page, for reference purposes)
Howells, Gareth:
  • Depositors only (login required):


Downloads per month over past year