Visible to the public Biblio

Filters: Author is Giesselmann, Michael  [Clear All Filters]
2022-02-04
Roy, Vishwajit, Noureen, Subrina Sultana, Atique, Sharif, Bayne, Stephen, Giesselmann, Michael.  2021.  Intrusion Detection from Synchrophasor Data propagation using Cyber Physical Platform. 2021 IEEE Conference on Technologies for Sustainability (SusTech). :1–5.
Some of the recent reports show that Power Grid is a target of attack and gradually the need for understanding the security of Grid network is getting a prime focus. The Department of Homeland Security has imposed focus on Cyber Threats on Power Grid in their "Cyber Security Strategy,2018" [1] . DHS has focused on innovations to manage risk attacks on Power System based national resources. Power Grid is a cyber physical system which consists of power flow and data transmission. The important part of a microgrid is the two-way power flow which makes the system complex on monitoring and control. In this paper, we have tried to study different types of attacks which change the data propagation of Synchrophasor, network communication interruption behavior and find the data propagation scenario due to attack. The focus of the paper is to develop a platform for Synchrophasor based data network attack study which is a part of Microgrid design. Different types of intrusion models were studied to observe change in Synchrophasor data pattern which will help for further prediction to improve Microgrid resiliency for different types of cyber-attack.