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Conference object . 2018
License: CC BY
Data sources: ZENODO
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License: CC BY
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https://doi.org/10.23919/ecc.2...
Article . 2018 . Peer-reviewed
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Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids

Authors: A. Gallo; M. S. Turan; P. Nahata; F. Boem; T. Parisini; G. Ferrari-Trecate;

Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids

Abstract

The paper considers the problem of detecting cyber-attacks occurring in communication networks typically used in the secondary control layer of DC microgrids. The proposed distributed methodology allows for scalable monitoring of a microgrid and is able to detect the presence of data injection attacks in the communications among Distributed Generation Units (DGUs) - governed by consensus-based control - and isolate the communication link over which the attack is injected. Each local attack detector requires limited knowledge regarding the dynamics of its neighbors. Detectability properties of the method are analyzed, as well as a class of undetectable attacks. Some results from numerical simulation are presented to demonstrate the effectiveness of the proposed approach.

Country
Italy
Keywords

Distributed power generation, power distribution control, power engineering computing, security of data., Cyber-Attack Detection

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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