Paper Info
Title
Mitigating IoT-based Cyberattacks on the Smart Grid
Abstract
The impact of cybersecurity attacks on the Smart Grid may cause cyber as well as physical damages, as clearly shown in the recent attacks on the power grid in Ukraine where consumers were left without power. A set of recent successful Distributed Denial-of-Service (DDoS) attacks on the Internet, facilitated by the proliferation of the Internet-of-Things powered botnets, shows that it is just a matter of time before the Smart Grid, as one of the most attractive critical infrastructure systems, becomes the target and likely victim of similar attacks, potentially leaving catastrophic disruption of power service to millions of people. It is in this context that we propose a scalable mitigation approach, referred to as Minimally Invasive Attack Mitigation via Detection Isolation and Localization (MIAMI-DIL), under a hierarchical data collection infrastructure. We provide a proofof- concept by means of simulations which show the efficacy and scalability of the proposed approach.
Year
DOI
Venue
2017
10.1109/ICMLA.2017.0-109
2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)
Keywords
Field
DocType
power grid,Internet-of-Things powered botnets,Smart Grid,attractive critical infrastructure systems,scalable mitigation approach,Minimally Invasive Attack Mitigation,cybersecurity attacks,Distributed Denial-of-Service attacks,IoT-based cyberattacks
Anomaly detection,Denial-of-service attack,Smart grid,Damages,Computer science,Botnet,Computer security,Critical infrastructure,Artificial intelligence,Machine learning,The Internet,Scalability
Conference
ISBN
Citations 
PageRank 
978-1-5386-1419-8
0
0.34
References 
Authors
11
2
Name
Order
Citations
PageRank
Yasin Yilmaz119525.95
Suleyman Uludag230217.13