  Computing is still under a significant threat from ransomware, which
necessitates prompt action to prevent it. Ransomware attacks can have a
negative impact on how smart grids, particularly digital substations. In
addition to examining a ransomware detection method using artificial
intelligence (AI), this paper offers a ransomware attack modeling technique
that targets the disrupted operation of a digital substation. The first, binary
data is transformed into image data and fed into the convolution neural network
model using federated learning. The experimental findings demonstrate that the
suggested technique detects ransomware with a high accuracy rate.
