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

### Citation Style Language JSON Export

{
"DOI": "10.1109/bigdata47090.2019.9006335",
"language": "eng",
"author": [
{
"family": "Igor Kotsiuba"
},
{
"family": "Inna Skarga-Bandurova"
},
{
},
{
"family": "Mykhailo Chaikin"
},
{
"family": "Aleksandar Jevremovic"
}
],
"issued": {
"date-parts": [
[
2020,
2,
24
]
]
},
"abstract": "<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>",
"title": "Technique for Finding and Investigating the  Strongest Combinations of Cyberattacks on Smart  Grid Infrastructure",
"type": "paper-conference",
"id": "3891124"
}
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