Analysis of the Vulnerability of Smart Grids to Social Network-Based Attacks

Daogui Tang, Yiping Fang, Enrico Zio, Jose Emmanuel Ramirez-Marquez

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations

    Abstract

    The idea of coupling social networks with power grids to engage end users has attracted much attention. In this paper, we model a social network-coupled power grid system and analyze its vulnerability to false price attacks initiated on social networks. The false price spreading process is depicted by a price-based multi-level influence propagation model and the corresponding behavior of customers is based on their influence levels. The residential capacity of power lines is adopted to quantify the impact on power systems. A modified IEEE 13 node test feeder and a notional social network are considered as a case study. The vulnerability of the system under different attack scenarios is analyzed.

    Original languageEnglish
    Title of host publicationProceedings - 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018
    Pages130-134
    Number of pages5
    ISBN (Electronic)9781728102382
    DOIs
    StatePublished - 11 Apr 2019
    Event3rd International Conference on System Reliability and Safety, ICSRS 2018 - Barcelona, Spain
    Duration: 24 Nov 201826 Nov 2018

    Publication series

    NameProceedings - 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018

    Conference

    Conference3rd International Conference on System Reliability and Safety, ICSRS 2018
    Country/TerritorySpain
    CityBarcelona
    Period24/11/1826/11/18

    Keywords

    • attacks
    • smart grids
    • social network
    • vulnerability

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