Enhancing cyber-resiliency of EPES assets


The main objective of the PHOENIX project is to secure the European Electrical Power and Energy System (EPES) assets and networks against cyber-attacks. A prerequisite for this is indeed represented by secure connectivity, which – although technical means exist – is not supported by a substantial number of legacy EPES assets. The PHOENIX project thus aims at providing additional security features and measures to the legacy systems by developing a Universal Secure Gateway (USG).

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Attacks on Low Power and Lossy Networks


The proliferation of the IoT is a new wave of innovation with recent forecasts suggesting massive deployment  of  several  IoT  devices  to  reach  billions of devices.    In  general,  an  IoT  framework  could be  defined  as  the  use  of  heterogeneous  technologies, systems, and TCP/IP protocols, with the growing paradigm of device-to-device communications and the contextual environment.

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Does security incident information sharing benefit the new (data) gold?

A security incident is understood as an event that has a negative effect on the properties of confidentiality, integrity or availability, known also as the CIA triad, of communication networks, services or data – stored, under processing or in transit. A security incident may affect any of the CIA triad combinations. A brief summary of the CIA triad is provided below.

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Digitization, a double-edged weapon


EPES digitization and modernization is a double-edged weapon. Despite almost limitless advantages to be gained, digitization brings more opportunities for hackers to outrage the essential infrastructures. Networks are being linked, gaining complexity and allowing more devices to take part of the ecosystem, undoubtedly increasing the attack surface and weak points. How is this affecting the global energy domain? What are the possibilities to countermeasure this threat?

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Autoencoders for anomaly detection


The Phoenix project is focused on the cyber-security of Electrical Power and Energy Systems (EPES). One on the first steps on counter-measuring a cyber-attack is to identify the malicious activity. That task can be addressed by anomaly detection techniques. Artificial Intelligence has proven to be a suitable technology for that task.

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This project has received funding from the European Union’s Horizon 2020 research and Innovation programme under grant agreement N°832989. All information on this website reflects only the authors' view. The Agency and the Commission are not responsible for any use that may be made of the information this website contains.

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