Conference paper Open Access

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


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/8895c559-5e84-457d-bc3b-2c174e571bb4/%5B13%5D%20Technique%20for%20Finding%20and%20Investigating%20the%20Strongest%20Combinations%20of%20Cyberattacks%20on%20Smart%20Grid%20Infrastructure.pdf"
      }, 
      "checksum": "md5:90814560f9ae7f2dab9aeee8ede606fc", 
      "bucket": "8895c559-5e84-457d-bc3b-2c174e571bb4", 
      "key": "[13] Technique for Finding and Investigating the Strongest Combinations of Cyberattacks on Smart Grid Infrastructure.pdf", 
      "type": "pdf", 
      "size": 383505
    }
  ], 
  "owners": [
    98622
  ], 
  "doi": "10.1109/bigdata47090.2019.9006335", 
  "stats": {
    "version_unique_downloads": 67.0, 
    "unique_views": 32.0, 
    "views": 35.0, 
    "version_views": 35.0, 
    "unique_downloads": 67.0, 
    "version_unique_views": 32.0, 
    "volume": 27228855.0, 
    "version_downloads": 71.0, 
    "downloads": 71.0, 
    "version_volume": 27228855.0
  }, 
  "links": {
    "doi": "https://doi.org/10.1109/bigdata47090.2019.9006335", 
    "latest_html": "https://zenodo.org/record/3891124", 
    "bucket": "https://zenodo.org/api/files/8895c559-5e84-457d-bc3b-2c174e571bb4", 
    "badge": "https://zenodo.org/badge/doi/10.1109/bigdata47090.2019.9006335.svg", 
    "html": "https://zenodo.org/record/3891124", 
    "latest": "https://zenodo.org/api/records/3891124"
  }, 
  "created": "2020-06-12T10:45:29.026684+00:00", 
  "updated": "2020-06-12T22:18:21.160194+00:00", 
  "conceptrecid": "3891123", 
  "revision": 2, 
  "id": 3891124, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.1109/bigdata47090.2019.9006335", 
    "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>", 
    "language": "eng", 
    "title": "Technique for Finding and Investigating the  Strongest Combinations of Cyberattacks on Smart  Grid Infrastructure", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "3891123"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "3891124"
          }
        }
      ]
    }, 
    "grants": [
      {
        "code": "787011", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::787011"
        }, 
        "title": "SPEAR: Secure and PrivatE smArt gRid", 
        "acronym": "SPEAR", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/501100000780"
          }
        }
      }
    ], 
    "communities": [
      {
        "id": "h2020_spear_project"
      }
    ], 
    "publication_date": "2020-02-24", 
    "creators": [
      {
        "affiliation": "G.E. Pukhov Institute for Modeling in  Energy Engineering, National Academy  of Sciences of Ukraine  Kyiv, Ukraine", 
        "name": "Igor Kotsiuba"
      }, 
      {
        "orcid": "0000-0003-3458-8730", 
        "affiliation": "School of Engineering, Computing and  Mathematics   Oxford Brookes University   Oxford, United Kingdom", 
        "name": "Inna Skarga-Bandurova"
      }, 
      {
        "affiliation": "School of Electrical and Computing  Engineering   National Technical University of  Athens  Athens, Greece", 
        "name": "Alkiviadis Giannakoulias"
      }, 
      {
        "affiliation": "CRDF Global, Kyiv, Ukraine", 
        "name": "Mykhailo Chaikin"
      }, 
      {
        "affiliation": "IEEE member, Serbia", 
        "name": "Aleksandar Jevremovic"
      }
    ], 
    "access_right": "open", 
    "resource_type": {
      "subtype": "conferencepaper", 
      "type": "publication", 
      "title": "Conference paper"
    }
  }
}
35
71
views
downloads
Views 35
Downloads 71
Data volume 27.2 MB
Unique views 32
Unique downloads 67

Share

Cite as