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A distributed attack detection method for multi-agent systems governed by consensus-based control
File | Description | Size | Format | |
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CDC2017_resub_V5.pdf | Accepted version | 388.43 kB | Adobe PDF | View/Open |
Title: | A distributed attack detection method for multi-agent systems governed by consensus-based control |
Authors: | Boem, F Gallo, AJ Ferrari-Trecate, G Parisini, T |
Item Type: | Conference Paper |
Abstract: | The paper considers the problem of detecting cyber-attacks occurring in communication networks for distributed control schemes. A distributed methodology is proposed to detect the presence of malicious attacks aimed at compromising the stability of large-scale interconnected systems and multi-agent systems governed by consensus-based controllers. Only knowledge of the local model is required. The detectability properties of the proposed method are analyzed. A class of undetectable attacks is identified. Preliminary simulation results show the effectiveness of the proposed approach. |
Issue Date: | 23-Jan-2018 |
Date of Acceptance: | 12-Jul-2017 |
URI: | http://hdl.handle.net/10044/1/52095 |
DOI: | https://dx.doi.org/10.1109/CDC.2017.8264562 |
Publisher: | IEEE |
Journal / Book Title: | 2017 IEEE 56th Annual Conference on Decision and Control (CDC) |
Copyright Statement: | © 2017 IEEE. 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. |
Sponsor/Funder: | Engineering & Physical Science Research Council (EPSRC) Commission of the European Communities |
Funder's Grant Number: | EP/L014343/1 664639 |
Conference Name: | 56th IEEE Conference on Decision and Control |
Keywords: | Science & Technology Technology Automation & Control Systems Engineering, Electrical & Electronic Engineering LARGE-SCALE SYSTEMS FAULT-DETECTION NETWORKS AGENTS |
Publication Status: | Published |
Start Date: | 2017-12-12 |
Finish Date: | 2017-12-15 |
Conference Place: | Melbourne, Australia |
Appears in Collections: | Electrical and Electronic Engineering Faculty of Engineering |