Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring.
Spiros V. GeorgakopoulosSotiris K. TasoulisAristidis G. VrahatisSerafeim P. MoustakidisDimitrios TsaopoulosVassilis P. PlagianakosPublished in: IJCNN (2022)
Keyphrases
- anomaly detection
- hybrid learning
- detect anomalies
- intrusion detection
- neuro fuzzy
- detecting anomalies
- anomalous behavior
- network traffic
- higher education
- intrusion detection system
- network intrusion detection
- behavior analysis
- network security
- negative selection algorithm
- online learning
- physical education
- artificial intelligence
- unsupervised learning
- connectionist systems
- data sets
- one class support vector machines
- detecting anomalous
- e learning
- network anomaly detection
- face to face instruction
- blended learning
- text classification