HADES: a Hybrid Anomaly Detection System for Large-Scale Cyber-Physical Systems
Conference paper
Alwan, A., Baravalle, A., Ciupala, A. and Falcarin, P. 2020. HADES: a Hybrid Anomaly Detection System for Large-Scale Cyber-Physical Systems. FMEC2020: The Fifth International Conference on Fog and Mobile Edge Computing. Paris, FR 30 Jun - 03 Jul 2020 IEEE. https://doi.org/10.1109/FMEC49853.2020.9144751
Authors | Alwan, A., Baravalle, A., Ciupala, A. and Falcarin, P. |
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Type | Conference paper |
Abstract | Smart cities rely on large-scale heterogeneous distributed systems known as Cyber-Physical Systems (CPS). Information systems based on CPS typically analyse a massive amount of data collected from various data sources that operate under noisy and dynamic conditions. How to determine the quality and reliability of such data is an open research problem that concerns the overall system safety, reliability and security. |
Year | 2020 |
Conference | FMEC2020: The Fifth International Conference on Fog and Mobile Edge Computing |
Publisher | IEEE |
Accepted author manuscript | License File Access Level Anyone |
Publication dates | |
Online | 21 Jul 2020 |
Publication process dates | |
Accepted | 21 Feb 2020 |
Deposited | 24 Jun 2020 |
Book title | 2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) |
Book editor | Alsmirat, M. |
Jararweh, Y. | |
Benkhelifa, E. | |
Saleh, I. | |
Sato, H. | |
Boubchir, L. | |
ISBN | 978-1-7281-7216-3 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/FMEC49853.2020.9144751 |
Web address (URL) | https://doi.org/10.1109/FMEC49853.2020.9144751 |
Copyright holder | © 2020 IEEE |
Copyright information | Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
https://repository.uel.ac.uk/item/88275
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