Learning-Based Cooperative False Data Injection Attack and Its Mitigation Techniques in Consensus-Based Distributed Estimation

Learning-Based Cooperative False Data Injection Attack and Its Mitigation Techniques in Consensus-Based Distributed Estimation

For the false data injection attack (FDIA) in the consensus-based distributed estimation, the information of weight matrix is critical for both attackers and defenders. In this paper, we study the impact of the weight matrix on the FDIA and the attack mitigation techniques. We first propose a learni...

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Bibliographic Details
Main Authors: Qiaomu Jiang, Huifang Chen, Lei Xie, Kuang Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Consensus-based distributed estimation
weight matrix
cooperative false data injection attack (FDIA)
surveillance and response mechanism
real-time detection
reassessment mechanism
Online Access:https://ieeexplore.ieee.org/document/9193888/

Internet

https://ieeexplore.ieee.org/document/9193888/

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