Application of Anomaly Detection Models to Malware Detection in the Presence of Concept Drift.
David Escudero GarcíaNoemí DeCastro-GarcíaPublished in: HAIS (2023)
Keyphrases
- anomaly detection
- malware detection
- concept drift
- network anomaly detection
- novelty detection
- streaming data
- intrusion detection
- network intrusion detection
- detecting anomalies
- one class support vector machines
- intrusion detection system
- data distribution
- negative selection algorithm
- anomalous behavior
- network traffic
- probabilistic model
- computer security
- classification algorithm
- detect anomalies
- data streams
- non stationary
- unsupervised learning
- feature selection