Anomaly Detection on Web-User Behaviors Through Deep Learning.
Jiaping GuiZhengzhang ChenXiao YuCristian LumezanuHaifeng ChenPublished in: SecureComm (1) (2020)
Keyphrases
- data warehouse
- anomaly detection
- deep learning
- user behavior
- unsupervised learning
- intrusion detection
- detecting anomalies
- user interaction
- anomalous behavior
- intrusion detection system
- data mining
- machine learning
- user preferences
- network traffic
- network intrusion detection
- behavior analysis
- mental models
- pattern recognition
- detect anomalies
- web pages
- one class support vector machines
- negative selection algorithm
- social networking
- recommendation systems
- weakly supervised
- normal behavior
- training data