Research Article

TR-IDS: Anomaly-Based Intrusion Detection through Text-Convolutional Neural Network and Random Forest

Table 2

Preprocessing results of the ISCX2012 dataset.

Category CountPercentageTraining countTesting count

Normal1000028.28%69713029
Infiltration992528.07%69302995
BFSSH704219.92%49112131
DDoS496314.04%35131450
HttpDoS34279.69%24241003
Total35357100%2474910608