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ther research is needed to improve the performance
of IDSs and develop approaches that can effectively
classify network intrusions into different classes.
5.2 Future Work
The study’s limitations include the small dataset size
that may not represent all attacks and an imbalanced
dataset. The classification models were only evalu-
ated on one dataset, and testing them on additional
datasets would be beneficial. Future work aims to
address the imbalance issue, evaluate the models on
more datasets, and compare their performance across
various data types. The study also plans to explore
other classification models, such as recurrent neural
networks and long short-term memory networks. Ad-
ditionally, integrating the results of multiple classifi-
cation models into a single anomaly detection system
could potentially enhance its overall performance.
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