Energy Theft in the Advanced Metering Infrastructure
By Stephen E. McLaughlin, Dmitry Podkuiko, Patrick Drew McDaniel. Critical Information Infrastructures Security, 2009
299 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/555709f9a320f186ed7da3c0bd7f88db9c1554a7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ahmad-Reza Sadeghi
- Lucas Davi
- Rongxing Lu
- George Danezis
- Xuemin Shen
- Yan Zhang
- Sabita Maharjan
- Ludovic Piètre-Cambacédès
In Control and Systems Engineering
- Yan Zhang
- George Danezis
- Alfredo Rial
- Rongxing Lu
- Xuemin Shen
- Quanyan Zhu
- Saman A. Zonouz
- Tamer Basar
In Electrical and Electronic Engineering
- Yan Zhang
- Rongxing Lu
- Sabita Maharjan
- Xuemin Shen
- George Danezis
- Alfredo Rial
- Ahmad-Reza Sadeghi
- Ramesh Karri
Citations in the corpus
- A Multi-Sensor Energy Theft Detection Framework for Advanced Metering Infrastructures (2013, background): “Addressing this issue has been one of the motivation to invest in AMI [2], [5].”
- DAG-based attack and defense modeling: Don't miss the forest for the attack trees (2013, background): “Numerous case studies [196, 287, 47, 56, 88, 108, 31, 101, 185, 4, 137, 285, 54, 103, 175, 205, 218, 242, 251, 107, 164, 198, 48, 92, 181, 182, 286, 84, 158, 197, 255, 311, 281, 326] account for the applicability of the attack tree methodology.”
- Smart Grid — The New and Improved Power Grid: A Survey (2012, unknown): “[164] studied an adversary’s means of defrauding the electrical grid by manipulating AMI systems, and validated the viability of these attacks by performing penetration testing on commodity devices.”
- The Cybersecurity Landscape in Industrial Control Systems (2016, background): “Security assessment of a real-world smart metering system considered energy theft by tampered measurement values [77].”
- Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach (2013, background): “Their functionality make them an interesting target for attackers [5].”
- Privacy-preserving smart metering (2011, background): “McLaughlin et al. [31] analyze security of smart grids and conclude that they introduce new vulnerabilities that ease electricity theft.”
- Energy-theft detection issues for advanced metering infrastructure in smart grid (2014, background): “Specifically, there are three types of attackers who are motivated to commit energy theft[18]:”