Browsing by Author "Alberto, Molinuevo Martin"
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Item Dynamic Risk Assessment and Certification in the Power Grid: A Collaborative Approach(Institute of Electrical and Electronics Engineers Inc., 2022) Liatifis, Athanasios; Alcazar, Pedro Ruzafa; Grammatikis, Panagiotis Radoglou; Papamartzivanos, Dimitris; Menesidou, Sofianna; Krousarlis, Thomas; Alberto, Molinuevo Martin; Angulo, Inaki; Sarigiannidis, Antonios; Lagkas, Thomas; Argyriou, Vasileios; Skarmeta, Antonio; Sarigiannidis, Panagiotis; Clemm, Alexander; Maier, Guido; Machuca, Carmen Mas; Ramakrishnan, K.K.; Risso, Fulvio; Chemouil, Prosper; Limam, Noura; SWT; DIGITAL ENERGYThe 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.Item SDN-Based Resilient Smart Grid: The SDN-microSENSE Architecture(2021-12) Grammatikis, Panagiotis Radoglou; Sarigiannidis, Panagiotis; Dalamagkas, Christos; Spyridis, Yannis; Lagkas, Thomas; Efstathopoulos, Georgios; Sesis, Achilleas; Pavon, Ignacio Labrador; Burgos, Ruben Trapero; Diaz, Rodrigo; Sarigiannidis, Antonios; Papamartzivanos, Dimitris; Menesidou, Sofia Anna; Ledakis, Giannis; Pasias, Achilleas; Kotsiopoulos, Thanasis; Drosou, Anastasios; Mavropoulos, Orestis; Subirachs, Alba Colet; Sola, Pol Paradell; Domínguez-García, José Luis; Escalante, Marisa; Alberto, Molinuevo Martin; Caracuel, Benito; Ramos, Francisco; Gkioulos, Vasileios; Katsikas, Sokratis; Bolstad, Hans Christian; Archer, Dan Eric; Paunovic, Nikola; Gallart, Ramon; Rokkas, Theodoros; Arce, Alicia; CIBERSEC&DLT; SWTThe 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.