Determination of the vulnerability index to cyberattacks and state-estimation problems according to SCADA data and timed vector measurements

Kolosok, Irina; Gurina, Liudmila

doi:10.3103/s1068371217010096

Cited by 8 publications

(1 citation statement)

References 1 publication

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“…To assess the ability of a complex engineering system to withstand cyberattacks, the concept of system vulnerability level is introduced, the numerical rating of which is a vulnerability index. In [36,37], the concept of the vulnerability index of the state estimation was introduced, with the latter characterizing the degree of exposure of its results to possible errors in measuring information when cyberattacks are directed at the SCADA system. A set of indicators descriptive of the accuracy of state estimation results was used to determine the vulnerability index.…”

Section: Application Of Statistical Methods Of Information Processingmentioning

confidence: 99%

Issues of Cybersecurity in Electric Power Systems

Воропай

Kolosok

Korkina

et al. 2020

Energy Systems Research

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The study deals with the cybersecurity concept of cyber-physical electric power systems (EPSs) as a strategic issue of national importance, which affects all strata of society. The link between the cybersecurity of EPSs and Russia's energy security and information security is analyzed. Data on the number of cyberattacks on control systems of industrial enterprises, power plants, and substations for several years are provided. The consequences of cyberattacks for the operability of the EPS physical subsystem and its facilities are analyzed. Areas of research to counteract external cyber threats are outlined. The key findings of the EPS cybersecurity study carried out at the Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences (ESI SB RAS) are summarized.

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Section: Application Of Statistical Methods Of Information Processingmentioning

confidence: 99%

Issues of Cybersecurity in Electric Power Systems

Воропай

Kolosok

Korkina

et al. 2020

Energy Systems Research

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Detection of Ransom Ware Virus Using Sandbox Technique

Divya¹

2019

Emerging Trends in Computing and Expert Technology

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Optimization of the magnetic system of a VR machine for traction electric drives in agriculture

Zakharov¹,

Tulegenov²

2020

IOP Conf. Ser.: Earth Environ. Sci.

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The purpose of this article is to optimize a VR machine for traction electric drives in agriculture, as well as to identify its advantages and disadvantages, to compare an electric drive based on a test machine with an asynchronous electric drive of the same size. The optimal ratio of the elements of the magnetic system of the electromechanical converter based on the VR machine. It is shown that the overload capacity of an electric drive with a VR machine is about 25%. The specific electromagnetic moment of the studied machine is 30% higher than the corresponding indicator of an asynchronous machine of the same size in the nominal operating mode. The disadvantage of this machine is its low power factor, only 7%. This is due to the small ratio of conductivities along the longitudinal and transverse axes of the machine due to the large number of stator and rotor teeth. The problem is solved by introducing additional DC or AC windings on the stator. It is shown that a change in the air gap significantly affects the specific moment. Only by reducing by 2 times the air gap managed to increase the moment by 48%.

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Determination of the vulnerability index to cyberattacks and state-estimation problems according to SCADA data and timed vector measurements

Cited by 8 publications

References 1 publication

Issues of Cybersecurity in Electric Power Systems

Issues of Cybersecurity in Electric Power Systems

Detection of Ransom Ware Virus Using Sandbox Technique

Optimization of the magnetic system of a VR machine for traction electric drives in agriculture

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