Digital · 2021 · 47 citations · 35 references
ComputingComputer ScienceCybersecurityComputer SecurityNetwork SecuritySecurity ArchitectureCyber-physical SecurityGrid SecurityIntrusion DetectionSmart Grid SystemsSmart GridsSoftware-defined NetworkingCybersecurity For Smart GridsElectrical Power SystemsIntrusion Detection ArchitecturePrivacyResilient Network ArchitectureSmart Grid CybersecuritySmart Grid SecuritySoftware-defined Networking Security
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.
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Characterization of Tor Traffic using Time based Features
Arash Habibi Lashkari, Gerard Draper Gil, Mohammad Saiful Islam Mamun et al. · 2017 · 751 citations · Full text