Dynamic Risk Assessment and Certification in the Power Grid: A Collaborative Approach

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Dynamic Risk Assessment and Certification in the Power Grid: A Collaborative Approach

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  • June 27, 2022
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Athanasios Liatifis, Pedro Ruzafa Alcazar, Panagiotis Radoglou Grammatikis, Dimitris Papamartzivanos, Sofianna Menesidou, Thomas Krousarlis, Molinuevo Martin Alberto, Iñaki Angulo, Antonios Sarigiannidis, Thomas Lagkas, Vasileios Argyriou, Antonio Skarmeta, Panagiotis Sarigiannidis: Dynamic Risk Assessment and Certification in the Power Grid: A Collaborative Approach. 2022 IEEE 8th International Conference on Network Softwarization (NetSoft), 2022, ISBN: 978-1-6654-0694-9.

Abstract

The digitisation of the typical electrical grid introduces valuable services, such as pervasive control, remote monitoring and self-healing. However, despite the benefits, cybersecurity and privacy issues can result in devastating effects or even fatal accidents, given the interdependence between the energy sector and other critical infrastructures. Large-scale cyber attacks, such as Indostroyer and DragonFly have already demonstrated the weaknesses of the current electrical grid with disastrous consequences. Based on the aforementioned remarks, both academia and industry have already designed various cybersecurity standards, such as IEC 62351. However, dynamic risk assessment and certification remain crucial aspects, given the sensitive nature of the electrical grid. On the one hand, dynamic risk assessment intends to re-compute the risk value of the affected assets and their relationships in a dynamic manner based on the relevant security events and alarms. On the other hand, based on the certification process, new approach for the dynamic management of the security need to be defined in order to provide adaptive reaction to new threats. This paper presents a combined approach, showing how both aspects can be applied in a collaborative manner in the smart electrical grid.

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@conference{9844034,
title = {Dynamic Risk Assessment and Certification in the Power Grid: A Collaborative Approach},
author = {Athanasios Liatifis and Pedro Ruzafa Alcazar and Panagiotis Radoglou Grammatikis and Dimitris Papamartzivanos and Sofianna Menesidou and Thomas Krousarlis and Molinuevo Martin Alberto and Iñaki Angulo and Antonios Sarigiannidis and Thomas Lagkas and Vasileios Argyriou and Antonio Skarmeta and Panagiotis Sarigiannidis},
url = {https://www.researchgate.net/publication/362464616_Dynamic_Risk_Assessment_and_Certification_in_the_Power_Grid_A_Collaborative_Approach},
doi = {10.1109/NetSoft54395.2022.9844034},
isbn = {978-1-6654-0694-9},
year  = {2022},
date = {2022-06-27},
booktitle = {2022 IEEE 8th International Conference on Network Softwarization (NetSoft)},
pages = {462-467},
abstract = {The digitisation of the typical electrical grid introduces valuable services, such as pervasive control, remote monitoring and self-healing. However, despite the benefits, cybersecurity and privacy issues can result in devastating effects or even fatal accidents, given the interdependence between the energy sector and other critical infrastructures. Large-scale cyber attacks, such as Indostroyer and DragonFly have already demonstrated the weaknesses of the current electrical grid with disastrous consequences. Based on the aforementioned remarks, both academia and industry have already designed various cybersecurity standards, such as IEC 62351. However, dynamic risk assessment and certification remain crucial aspects, given the sensitive nature of the electrical grid. On the one hand, dynamic risk assessment intends to re-compute the risk value of the affected assets and their relationships in a dynamic manner based on the relevant security events and alarms. On the other hand, based on the certification process, new approach for the dynamic management of the security need to be defined in order to provide adaptive reaction to new threats. This paper presents a combined approach, showing how both aspects can be applied in a collaborative manner in the smart electrical grid.},
keywords = {certification, Cybersecurity, energy, Honeypot, Power Grid, Risk Assessment, Software Defined Networking},
pubstate = {published},
tppubtype = {conference}
}
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