A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids

By Ahmed S. Musleh, Guo Chen, Zhao Yang Dong. IEEE Transactions on Smart Grid, 2020

592 citations recorded by the source corpus.

Cyber-physical attacks are the main substantial threats facing the utilization and development of the various smart grid technologies. Among these attacks, false data injection attack represents a main category with its widely varied types and impacts that have been extensively reported recently. In addressing this threat, several detection algorithms have been developed in the last few years. These were either model-based or data-driven algorithms. This paper provides an intensive summary of these algorithms by categorizing them and elaborating on the pros and cons of each category. The paper starts by introducing the various cyber-physical attacks along with the main reported incidents in history. The significance and the impacts of the false data injection attacks are then reported. The concluding remarks present the main criteria that should be considered in developing future detection algorithms for the false data injection attacks.

Subfields: Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a3d8efa98bf21189c785f31c827db9c30ba7493e

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

1. Qing-Long Han
2. Xiaohua Ge
3. Derui Ding
4. Jun Wang
5. Xianming Zhang
6. Lei Ding

In Control and Systems Engineering

1. Xiaohua Ge
2. Qing-Long Han
3. Derui Ding
4. Jun Wang
5. Mohammad Shahidehpour
6. Yuanzheng Li
7. Zhaoyang Dong
8. Xinhao Wei

In Electrical and Electronic Engineering

1. Xiaohua Ge
2. Qing-Long Han
3. Rajaa Vikhram Yohanandhan
4. Rajvikram Madurai Elavarasan
5. Lucian Mihet-Popa
6. Premkumar Manoharan
7. Mohammad Shahidehpour
8. Derui Ding

Citations in the corpus

• Secure State Estimation and Control of Cyber-Physical Systems: A Survey (2021, background): “…are further testified by several security incidents of modern infrastructure, such as Ukrainian power grid attacks, Stuxnet worm attacks on Iran’s nuclear control systems, distributed denial-of-service (DDoS) attacks on Internet infrastructure company Dyn, see [24], [64], [85] for more examples.”
• Cyber-Physical Power System (CPPS): A Review on Modeling, Simulation, and Analysis With Cyber Security Applications (2020, background): “Table 6 lists out the major incidents reported in the energy sector [179].”
• Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach (2022, background): “Up to date, many researchers have conducted research from the perspective of FDIA detection and achieved certain results [5], [6].”