Timely detection and mitigation of IoT-based cyberattacks in the smart grid

DOI10.1016/j.jfranklin.2019.02.011zbMath1459.94066OpenAlexW2924325417WikidataQ128196470 ScholiaQ128196470MaRDI QIDQ2224739

Suleyman Uludag, Yasin Yilmaz

Publication date: 4 February 2021

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2019.02.011

zbMATH Keywords

distributed denial-of-serviceInternet-of-Things

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Detection theory in information and communication theory (94A13) Internet topics (68M11)

Cites Work

• Efficient scalable schemes for monitoring a large number of data streams
• Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach
• Safe and Secure Networked Control Systems under Denial-of-Service Attacks
• Detection of Faults and Attacks Including False Data Injection Attack in Smart Grid Using Kalman Filter
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