TY - JOUR
T1 - SDN-Based Resilient Smart Grid
T2 - The SDN-microSENSE Architecture
AU - Grammatikis, Panagiotis Radoglou
AU - Sarigiannidis, Panagiotis
AU - Dalamagkas, Christos
AU - Spyridis, Yannis
AU - Lagkas, Thomas
AU - Efstathopoulos, Georgios
AU - Sesis, Achilleas
AU - Pavon, Ignacio Labrador
AU - Burgos, Ruben Trapero
AU - Diaz, Rodrigo
AU - Sarigiannidis, Antonios
AU - Papamartzivanos, Dimitris
AU - Menesidou, Sofia Anna
AU - Ledakis, Giannis
AU - Pasias, Achilleas
AU - Kotsiopoulos, Thanasis
AU - Drosou, Anastasios
AU - Mavropoulos, Orestis
AU - Subirachs, Alba Colet
AU - Sola, Pol Paradell
AU - Domínguez-García, José Luis
AU - Escalante, Marisa
AU - Alberto, Molinuevo Martin
AU - Caracuel, Benito
AU - Ramos, Francisco
AU - Gkioulos, Vasileios
AU - Katsikas, Sokratis
AU - Bolstad, Hans Christian
AU - Archer, Dan Eric
AU - Paunovic, Nikola
AU - Gallart, Ramon
AU - Rokkas, Theodoros
AU - Arce, Alicia
N1 - Publisher Copyright:
© 2021 by the authors.
PY - 2021/12
Y1 - 2021/12
N2 - The technological leap of smart technologies and the Internet of Things has advanced the conventional model of the electrical power and energy systems into a new digital era, widely known as the Smart Grid. The advent of Smart Grids provides multiple benefits, such as self-monitoring, self-healing and pervasive control. However, it also raises crucial cybersecurity and privacy concerns that can lead to devastating consequences, including cascading effects with other critical infrastructures or even fatal accidents. This paper introduces a novel architecture, which will increase the Smart Grid resiliency, taking full advantage of the Software-Defined Networking (SDN) technology. The proposed architecture called SDN-microSENSE architecture consists of three main tiers: (a) Risk assessment, (b) intrusion detection and correlation and (c) self-healing. The first tier is responsible for evaluating dynamically the risk level of each Smart Grid asset. The second tier undertakes to detect and correlate security events and, finally, the last tier mitigates the potential threats, ensuring in parallel the normal operation of the Smart Grid. It is noteworthy that all tiers of the SDN-microSENSE architecture interact with the SDN controller either for detecting or mitigating intrusions.
AB - The technological leap of smart technologies and the Internet of Things has advanced the conventional model of the electrical power and energy systems into a new digital era, widely known as the Smart Grid. The advent of Smart Grids provides multiple benefits, such as self-monitoring, self-healing and pervasive control. However, it also raises crucial cybersecurity and privacy concerns that can lead to devastating consequences, including cascading effects with other critical infrastructures or even fatal accidents. This paper introduces a novel architecture, which will increase the Smart Grid resiliency, taking full advantage of the Software-Defined Networking (SDN) technology. The proposed architecture called SDN-microSENSE architecture consists of three main tiers: (a) Risk assessment, (b) intrusion detection and correlation and (c) self-healing. The first tier is responsible for evaluating dynamically the risk level of each Smart Grid asset. The second tier undertakes to detect and correlate security events and, finally, the last tier mitigates the potential threats, ensuring in parallel the normal operation of the Smart Grid. It is noteworthy that all tiers of the SDN-microSENSE architecture interact with the SDN controller either for detecting or mitigating intrusions.
KW - Smart Grid
KW - Software Defined Networking
KW - anomaly detection
KW - blockchain
KW - cybersecurity
KW - energy management
KW - honeypots
KW - intrusion detection
KW - islanding
KW - privacy
UR - http://www.scopus.com/inward/record.url?scp=85126703871&partnerID=8YFLogxK
U2 - 10.3390/digital1040013
DO - 10.3390/digital1040013
M3 - Article
AN - SCOPUS:85126703871
SN - 2673-6470
VL - 1
SP - 173
EP - 187
JO - Digital
JF - Digital
IS - 4
ER -