Laplace-Domain Hybrid Distribution Model Based FDIA Attack Sample Generation in Smart Grids
Yi Wu,
Tong Zu,
Naiwang Guo
et al.
Abstract:False data injection attack (FDIA) is a deliberate modification of measurement data collected by the power grid using vulnerabilities in power grid state estimation, resulting in erroneous judgments made by the power grid control center. As a symmetrical defense scheme, FDIA detection usually uses machine learning methods to detect attack samples. However, existing detection models for FDIA typically require large-scale training samples, which are difficult to obtain in practical scenarios, making it difficult… Show more
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