Show simple item record

dc.contributor.authorShekari, Tohid
dc.date.accessioned2019-05-08T00:46:48Z
dc.date.available2019-05-08T00:46:48Z
dc.date.issued2019-04-16
dc.identifier.urihttp://hdl.handle.net/1853/61038
dc.descriptionPresented on April 16, 2019 at 3:30 p.m. in the Klaus Advanced Computing Building, Room 1116.en_US
dc.descriptionPresenter: 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.descriptionJoint work with Christian Bayens, Morris Cohen, Lukas Graber, and Raheem Beyah.en_US
dc.descriptionRuntime: 15:57 minutesen_US
dc.description.abstractRecent 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.extent15:57 minutes
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesCybersecurity Demo Day 2019en_US
dc.subjectIntrusion detection systems (IDS)en_US
dc.subjectPower griden_US
dc.subjectRFIDen_US
dc.titleLADIDS: Lightning-Authenticated Distributed Intrusion Detection System for the Power Griden_US
dc.typeLectureen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Information Security & Privacyen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineeringen_US


Files in this item

Thumbnail
Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record