SDN-Based Resilient Smart Grid: The SDN-microSENSE Architecture

Panagiotis Radoglou Grammatikis, Panagiotis Sarigiannidis, Christos Dalamagkas, Yannis Spyridis, Thomas Lagkas, Georgios Efstathopoulos, Achilleas Sesis, Ignacio Labrador Pavon, Ruben Trapero Burgos, Rodrigo Diaz, Antonios Sarigiannidis, Dimitris Papamartzivanos, Sofia Anna Menesidou, Giannis Ledakis, Achilleas Pasias, Thanasis Kotsiopoulos, Anastasios Drosou, Orestis Mavropoulos, Alba Colet Subirachs, Pol Paradell SolaJosé Luis Domínguez-García, Marisa Escalante, Molinuevo Martin Alberto, Benito Caracuel, Francisco Ramos, Vasileios Gkioulos, Sokratis Katsikas, Hans Christian Bolstad, Dan Eric Archer, Nikola Paunovic, Ramon Gallart, Theodoros Rokkas, Alicia Arce

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)173-187
Number of pages15
JournalDigital
Volume1
Issue number4
DOIs
StatePublished - Dec 2021
Externally publishedYes

Keywords

  • Smart Grid
  • Software Defined Networking
  • anomaly detection
  • blockchain
  • cybersecurity
  • energy management
  • honeypots
  • intrusion detection
  • islanding
  • privacy

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