Dr Andrei Petrovski a.petrovski@rgu.ac.uk
Associate Professor
Designing a context-aware cyber physical system for detecting security threats in motor vehicles.
Petrovski, Andrei; Rattadilok, Prapa; Petrovski, Sergei
Authors
Prapa Rattadilok
Sergei Petrovski
Abstract
An adaptive multi-tiered framework, which can be utilised for designing a context-aware cyber physical system is proposed in the paper and is applied within the context of providing data availability by monitoring electromagnetic interference. The adaptability is achieved through the combined use of statistical analysis and computational intelligence techniques. The proposed framework has the generality to be applied across a wide range of problem domains requiring processing, analysis and interpretation of data obtained from heterogeneous resources.
Citation
PETROVSKI, A., RATTADILOK, P. and PETROVSKI, S. 2015. Designing a context-aware cyber physical system for detecting security threats in motor vehicles. In Proceedings of the 8th International conference on security of information and networks (SIN'15), 8-10 September 2015, Sochi, Russia. New York: ACM [online], pages 267-270. Available from: https://doi.org/10.1145/2799979.2800029
Conference Name | 8th International conference on security of information and networks (SIN'15) |
---|---|
Conference Location | Sochi, Russia |
Start Date | Sep 8, 2015 |
End Date | Sep 10, 2015 |
Acceptance Date | Jul 25, 2015 |
Online Publication Date | Sep 8, 2015 |
Publication Date | Dec 31, 2015 |
Deposit Date | Oct 16, 2015 |
Publicly Available Date | Oct 16, 2015 |
Publisher | Association for Computing Machinery (ACM) |
Pages | 267-270 |
DOI | https://doi.org/10.1145/2799979.2800029 |
Keywords | Context awareness; Cyber physical system; Data security; Electro magnetic interference |
Public URL | http://hdl.handle.net/10059/1314 |
Files
PETROVSKI 2015 Designing a context-aware cyber
(270 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
Intelligent measurement in unmanned aerial cyber physical systems for traffic surveillance.
(2016)
Conference Proceeding
Anomaly monitoring framework based on intelligent data analysis.
(2013)
Conference Proceeding
Inferential measurements for situation awareness: enhancing traffic surveillance by machine learning.
(2013)
Conference Proceeding
Downloadable Citations
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search