False positive elimination in intrusion detection based on clustering.
Liang HuTaihui LiNannan XieJiejun HuPublished in: FSKD (2015)
Keyphrases
- intrusion detection
- false positives
- anomaly detection
- false negative
- high detection rate
- low false positive rate
- intrusion detection system
- true positive
- detection rate
- network intrusion detection
- network security
- artificial immune
- false positive rate
- network traffic
- detecting anomalous
- k means
- computer security
- information security
- clustering algorithm
- cyber security
- data mining
- data points
- unsupervised learning
- learning algorithm
- alert correlation
- real world
- fraud detection
- outlier detection
- machine learning
- intrusion prevention