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Summary Sentence: Free, open-to-the public discussion about cybersecurity risks, trends, and techniques.
Full Summary: On Friday, April 19th guest speaker, and ECE Ph.D. Student, Tohid Shekari will discuss RFDIDS: Radio Frequency-based Distributed Intrusion Detection System for the Power Grid.
Cybersecurity Lecture Series by IISP
Tohid ShekariThe Cybersecurity Lecture Series at Georgia Tech is a free, one-hour lecture from a thought leader who is advancing the field of information security and privacy. Invited speakers include executives and researchers from Fortune 500 companies, federal intelligence agencies, start-ups, and incubators, as well as Georgia Tech faculty and students presenting their research. Lectures are open to all -- students, faculty, industry, government, or simply the curious.
Recently, the number of cyber threats to power systems has increased at an unprecedented rate. For instance, the widespread blackout in Ukrainian power grid on December 2015 was a wakeup call that modern power systems have numerous vulnerabilities, especially in power substations which form the backbone of electricity networks. There have been significant efforts among researchers to develop effective intrusion detection systems (IDSs) in order to prevent such attacks or at least reduce their damaging consequences. However, all of the existing techniques require some level of trust from components on the supervisory control and data acquisition (SCADA) network; hence, they are still vulnerable to sophisticated attacks that can compromise the SCADA system completely. In this talk, we will introduce RFDIDS a radio frequency-based distributed intrusion detection system for the power grid which remains reliable even when the entire SCADA system is considered untrusted. RFDIDS utilizes a radio receiver as a diagnostic tool to provide air-gapped, independent, and verifiable information about the radio emissions from substation components, particularly at low frequencies. The unique feature of RFDIDS is its robustness against replay/spoofing attacks as its measured signal is encoded with the quasi-random distribution of the global lightning strokes.
Tohid Shekari received the BSc degree in electrical engineering from the Iran University of Science and Technology, Tehran, Iran, in 2013, and the MSc degree in electrical engineering from the University of Tehran, Tehran, in 2016. He is currently pursuing the Ph.D. degree in ECE and MSc in Cybersecurity with the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA. His current research interests include cybersecurity in power systems, intrusion detection in power substations, power system resilience, and power system operation. Mr. Shekari is a recipient of the Best Paper Award in the Hawaii International Conference on System Sciences (HICSS), 2018.
