dc.contributor.author | Shekari, Tohid | |
dc.date.accessioned | 2019-05-08T00:46:48Z | |
dc.date.available | 2019-05-08T00:46:48Z | |
dc.date.issued | 2019-04-16 | |
dc.identifier.uri | http://hdl.handle.net/1853/61038 | |
dc.description | Presented on April 16, 2019 at 3:30 p.m. in the Klaus Advanced Computing Building, Room 1116. | en_US |
dc.description | Presenter: Tohid Shekari is currently a double
major student (PhD in ECE and MSc in
Cybersecurity) with the Department of Electrical
and Computer Engineering, Georgia Institute
of Technology. He is doing research on the
security of power grids under the supervision
of Dr. Raheem Beyah. Specifically, his current
research interests include cybersecurity in
power systems, power system resilience, and
application of optimization methods in power
system operation. | en_US |
dc.description | Joint work with Christian Bayens, Morris Cohen, Lukas Graber, and Raheem Beyah. | en_US |
dc.description | Runtime: 15:57 minutes | en_US |
dc.description.abstract | Recent events affecting power grids (such as
the Ukrainian blackout in 2015) have highlighted
the vulnerabilities in modern power systems,
especially power substations which form the
backbone of electricity networks. There have
been significant efforts among researchers to
develop effective intrusion detection systems
(IDS) in order to prevent such attacks or reduce
their damaging consequences. However, all of
the existing techniques require some level of
trust from components on the SCADA network;
hence, they are still vulnerable to sophisticated
attacks that would compromise the SCADA
system completely. This research presents a
radio frequency-based distributed IDS which
remains reliable even when the entire SCADA
system is considered untrusted. The developed
air-gapped sensor is also robust against replay/
spoofing attacks, meaning that the attacker is
not able to feed it fake data. | en_US |
dc.format.extent | 15:57 minutes | |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.relation.ispartofseries | Cybersecurity Demo Day 2019 | en_US |
dc.subject | Intrusion detection systems (IDS) | en_US |
dc.subject | Power grid | en_US |
dc.subject | RFID | en_US |
dc.title | LADIDS: Lightning-Authenticated Distributed Intrusion Detection System for the Power Grid | en_US |
dc.type | Lecture | en_US |
dc.type | Video | en_US |
dc.contributor.corporatename | Georgia Institute of Technology. Institute for Information Security & Privacy | en_US |
dc.contributor.corporatename | Georgia Institute of Technology. School of Electrical and Computer Engineering | en_US |