Tohid Shekari

dblp:187/9868 · DBLP profile ↗
← Back
4ranked-venue papers
3as first author
3since 2021 · last 2024
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 4 · 3 first-author · 3 since 2021
YearPublicationVenuePosition
2024 Compromising Industrial Processes using Web-Based Programmable Logic Controller Malware
Ryan Pickren, Tohid Shekari, Saman A. Zonouz, Raheem A. Beyah
NDSS2
2022 MaDIoT 2.0: Modern High-Wattage IoT Botnet Attacks and Defenses
Tohid Shekari, Alvaro A. Cárdenas, Raheem A. Beyah
USENIX Security Symposium1
2021 MaMIoT: Manipulation of Energy Market Leveraging High Wattage IoT Botnets
abstract
If a trader could predict price changes in the stock market better than other traders, she would make a fortune. Similarly in the electricity market, a trader that could predict changes in the electricity load, and thus electricity prices, would be able to make large profits. Predicting price changes in the electricity market better than other market participants is hard, but in this paper, we show that attackers can manipulate the electricity prices in small but predictable ways, giving them a competitive advantage in the market.
Tohid Shekari, Celine Irvene, Alvaro A. Cárdenas, Raheem A. Beyah
CCS1
2019 RFDIDS: Radio Frequency-based Distributed Intrusion Detection System for the Power Grid
Tohid Shekari, Christian Bayens, Morris Cohen, Lukas Graber, Raheem A. Beyah
NDSS1