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.
Highlights
IntroductionThe evolution of the Industrial Internet of Things (IIoT) is leading the conventional
The evolution of the Industrial Internet of Things (IIoT) is leading the conventionalElectrical Power and Energy Systems (EPES) into a new digital paradigm, widely known as the Smart Grid (SG)
The purpose of Islanding and optImisation fraMework (IIM) is to preserve the stability of the EPES infrastructure by offering intentional islanding schemes in case of severe disturbances, avoiding cascading failures that can potentially lead to a blackout
Summary
The evolution of the Industrial Internet of Things (IIoT) is leading the conventional. Multiple benefits are provided to both energy consumers and energy utilities, such as many customer choices, pervasive control, self-monitoring and self-healing. This progression creates severe cybersecurity and privacy risks that can lead to devastating consequences or even fatal accidents. Based on the aforementioned remarks, this paper presents the SDNmicroSENSE architecture, which aims to strengthen the EPES/SG resiliency. To this end, SDN-microSENSE focuses on three tiers: (a) Risk assessment, (b) intrusion detection and correlation and (c) self-healing.
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