Anomaly-based error and intrusion detection in tabular data: No DNN outperforms tree-based classifiers.
Tommaso ZoppiStefano GazziniAndrea CeccarelliPublished in: Future Gener. Comput. Syst. (2024)
Keyphrases
- intrusion detection
- tabular data
- anomaly detection
- intrusion detection system
- cell suppression
- high detection rate
- network traffic
- controlled tabular adjustment
- network intrusion detection
- network security
- information security
- decision trees
- differential privacy
- detecting anomalous
- training set
- support vector
- data mining techniques
- naive bayes
- data mining
- alert correlation
- training data
- feature selection