A novel anomaly detection approach based on ensemble semi-supervised active learning (ADESSA).
Zequn NiuWenjie GuoJingfeng XueYong WangZixiao KongLu HuangPublished in: Comput. Secur. (2023)
Keyphrases
- semi supervised
- anomaly detection
- active learning
- unsupervised anomaly detection
- one class support vector machines
- unsupervised learning
- training set
- unlabeled data
- semi supervised learning
- intrusion detection
- labeled data
- learning algorithm
- supervised learning
- ensemble learning
- detecting anomalies
- anomalous behavior
- computer security
- network intrusion detection
- network traffic
- behavior analysis
- neural network
- pairwise
- machine learning
- ensemble methods
- intrusion detection system
- pairwise constraints
- transfer learning
- training data
- network intrusion
- negative selection algorithm
- decision trees
- network anomaly detection
- computer vision
- data mining techniques
- detect anomalies
- feature selection
- detecting anomalous
- cumulative sum