SDN-microSENSE.

SDN - microgrid reSilient Electrical eNergy SystEm

Project Description

The smart energy ecosystem constitutes the next technological leap of the conventional electrical grid, providing multiple benefits such as increased reliability, better service quality and efficient utilization of the existing infrastructures. However, despite the fact that it brings beneficial environmental, economic and social changes, it also generates significant security and privacy challenges, as it includes a combination of heterogeneous, co-existing smart and legacy technologies. Based on this reality, the SDN-microSENSE project intends to provide a set of secure, privacy-enabled and resilient to cyber attacks tools, thus ensuring the normal operation of EPES as well as the integrity and the confidentiality of communications. In particular, adopting an SDN-based technology, SDN-microSENSE will develop a three-layer security architecture, by deploying and implementing risk assessment processes, self-healing capabilities, large-scale distributed detection and prevention mechanisms, as well as an overlay privacy protection framework. Firstly, the risk assessment framework will identify the risk level of each component of EPES, identifying the possible threats and vulnerabilities. Accordingly, in the context of self-healing, islanding schemes and energy management processes will be deployed, isolating the critical parts of the network in the case of emergency. Furthermore, collaborative intrusion detection tools will be capable of detecting and preventing possible threats and anomalies timely. Finally, the overlay privacy protection framework will focus on privacy issues, including homomorphic encryption and anonymity processes.

IDENER contributions

  • SAB membership (T1.1)
  • The leadership of T5.4 – Overlay Privacy Framework
  • Contributions to T2.1 by providing feedback on security and privacy requirements Supporting T2.4 for pilot and demonstration scenarios
  • Collaboration on T3.4 for “Energy Chain Personnel & Processes Evaluation”
  • Collaboration on T4.4 for machine learning-based threat handling
  • Collaboration on T4.5 for blockchain-based exchange of energy data
  • Support on T5.5 for incident management and information sharing.
  • Collaboration on dissemination, exploitation and clustering activities

Project Details

  • Client European Commission
  • Date 19 June, 2019
  • Tags Engineering & Construction, Expertise area, Funding type, ICTs, Public - EU FP7 / H2020, Public - H2020, Research area, Software Engineering
  • Programme Horizon 2020-EC
  • Call ID H2020-SU-DS-2018
  • Client European Commission
  • Partners COORDINATOR - AYESA ADVANCED TECHNOLOGIES SA Partners: - PANEPISTIMIO DYTIKIS MAKEDONIAS - ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS - PREDUZECE ZA TELEKOMUNIKACIJSKE USLUGE REALAIZ DOO BEOGRAD (SAVSKI VENAC) - ATOS SPAIN SA - SCHNEIDER ELECTRIC FRANCE SAS - PUBLIC POWER CORPORATION S.A. - FUNDACION TECNALIA RESEARCH & INNOVATION - DIMOS AVDIRON - INNOVATIVE ENERGY AND INFORMATION TECHNOLOGIES LTD - ELEKTROENERGIEN SISTEMEN OPERATOR EAD - CEZ DISTRIBUTION BULGARIA AD - UBITECH LIMITED - CYBERLENS LTD - SIDROCO HOLDINGS LIMITED - 0 INFINITY LIMITED - EIGHT BELLS LTD - INCITES CONSULTING SARL - ENERGYNAUTICS GMBH - NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU - SIAXAMPANIS E.E. - GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER - RAVNA HYDRO LTD - FUNDACIO INSTITUT DE RECERCA DE L'ENERGIA DE CATALUNYA - ESTABANELL Y PAHISA ENERGIA SA - CHECKWATT AB - INDEPENDENT POWER TRANSMISSION OPERATOR SA - SINTEF ENERGI AS - DIL DIEL - OPTIMIZACION ORIENTADA A LA SOSTENIBILIDAD SL - GEIE ERCIM
  • Project cost 10.100.963,21€
  • Start date 1st May 2019
  • End date 30th April 2022
Launch Project
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