An Edge Computing-Based Preventive Framework With Machine Learning- Integration for Anomaly Detection and Risk Management in Maritime Wireless Communications.
Abdulmohsen AlgarniTayfun AcarerZulfiqar AhmadPublished in: IEEE Access (2024)
Keyphrases
- anomaly detection
- risk management
- wireless communication
- machine learning
- decision support system
- intrusion detection
- network anomaly detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- network traffic
- active learning
- intrusion detection system
- risk assessment
- data sets
- detect anomalies
- databases
- network security
- one class support vector machines
- information extraction
- real world
- data analysis
- computer simulation
- unsupervised learning
- probabilistic model