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This paper explores the performance of the current state-ofthe-
art machine learning models such as Tab Transformer to
detect and identify DDoS attacks in the context of Blockchain
networks. The performance of machine learning and deep
learning approaches largely depends on selecting features for
the required task. The insightful analysis of the dataset is fundamental
before choosing the machine learning/deep learning
model. In our case, the Tab transformer [31] model learns the
contextual information, thus showing superior performance in
identifying the DDoS attacks
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