A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents.
Mohamad BaydounMahdyar RavanbakhshDamian CampoPablo MarinDavid MartínLucio MarcenaroAndrea CavallaroCarlo S. RegazzoniPublished in: CoRR (2018)
Keyphrases
- anomaly detection
- multi perspective
- embodied agents
- intrusion detection
- d scene
- virtual humans
- anomalous behavior
- detecting anomalies
- one class support vector machines
- network intrusion detection
- unsupervised anomaly detection
- behavior analysis
- network traffic
- network security
- unsupervised learning
- network intrusion
- intrusion detection system
- network anomaly detection
- detecting anomalous
- active learning
- malware detection
- negative selection algorithm
- connectionist systems
- cumulative sum