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This section will discuss the performance of different machine
learning algorithms on predicting DDoS attacks from benign
traffic in the context of Blockchain. We analyze the traffic
for DDoS attacks at the hierarchical level, firstly at the router
level and then at the peer-to-peer level. The accuracy of Tab
Transformer is around 97% shown in Table I. The accuracy
of XGBoost and Random Forest is mostly comparable, having
accuracy 94:3% and 94:8% respectively. The dataset has been
labeled with three classes of TCPSYNC, UDPFLOOD, and
mixed with normal traffic labeled as Benign traffic.
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IEEE/ICACT20220078 Slide.10
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