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Technique for Finding and Investigating the Strongest Combinations of Cyberattacks on Smart Grid Infrastructure

Igor Kotsiuba; Inna Skarga-Bandurova; Alkiviadis Giannakoulias; Mykhailo Chaikin; Aleksandar Jevremovic


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>Recently, smart grids have become a vector of&nbsp;the energy policy of many countries. Due to structural and&nbsp;operation features, smart grids are a constant target of&nbsp;combined and simultaneous cyberattacks. To maximize security&nbsp;and to optimize existing network schemes to prevent cyber&nbsp;intrusion, in this paper, we propose an approach to decision&nbsp;support in finding and identifying the most potent attack&nbsp;combinations that can set the system to maximum damage. The&nbsp;main purpose is to identify the most severe combinations of attacks on smart grid components that potentially can be&nbsp;implemented from the perspective of the attacker. In this&nbsp;context, the problem of finding weaknesses points in the&nbsp;network configuration of a smart grid and assessing the impact&nbsp;of events on cyberinfrastructure is considered. The technique&nbsp;for detecting and investigating the strongest combinations of&nbsp;cyberattacks on the smart grid network is given with an&nbsp;example of the analysis of the spread of pandemic software in a&nbsp;system with arbitrary structure.&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "G.E. Pukhov Institute for Modeling in  Energy Engineering, National Academy  of Sciences of Ukraine  Kyiv, Ukraine", 
      "@type": "Person", 
      "name": "Igor Kotsiuba"
    }, 
    {
      "affiliation": "School of Engineering, Computing and  Mathematics   Oxford Brookes University   Oxford, United Kingdom", 
      "@id": "https://orcid.org/0000-0003-3458-8730", 
      "@type": "Person", 
      "name": "Inna Skarga-Bandurova"
    }, 
    {
      "affiliation": "School of Electrical and Computing  Engineering   National Technical University of  Athens  Athens, Greece", 
      "@type": "Person", 
      "name": "Alkiviadis Giannakoulias"
    }, 
    {
      "affiliation": "CRDF Global, Kyiv, Ukraine", 
      "@type": "Person", 
      "name": "Mykhailo Chaikin"
    }, 
    {
      "affiliation": "IEEE member, Serbia", 
      "@type": "Person", 
      "name": "Aleksandar Jevremovic"
    }
  ], 
  "headline": "Technique for Finding and Investigating the  Strongest Combinations of Cyberattacks on Smart  Grid Infrastructure", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-02-24", 
  "url": "https://zenodo.org/record/3891124", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1109/bigdata47090.2019.9006335", 
  "@id": "https://doi.org/10.1109/bigdata47090.2019.9006335", 
  "@type": "ScholarlyArticle", 
  "name": "Technique for Finding and Investigating the  Strongest Combinations of Cyberattacks on Smart  Grid Infrastructure"
}
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