Quantitative comparison of unsupervised anomaly detection algorithms for intrusion detection.
Filipe FalcãoTommaso ZoppiCaio Barbosa Viera SilvaAnderson SantosBaldoino FonsecaAndrea CeccarelliAndrea BondavalliPublished in: SAC (2019)
Keyphrases
- intrusion detection
- anomaly detection
- unsupervised anomaly detection
- intrusion detection system
- network traffic
- network security
- network intrusion detection
- credit card fraud detection
- data mining techniques
- data mining
- learning algorithm
- high detection rate
- artificial immune
- fraud detection
- data analysis
- active learning
- data sets
- data structure
- semi supervised
- pattern recognition