Deep Real-Time Anomaly Detection for Connected Autonomous Vehicles.
Rachid OucheikhMouhsene FriFayçal FedouakiMustapha HainPublished in: EUSPN/ICTH (2020)
Keyphrases
- anomaly detection
- autonomous vehicles
- real time
- intrusion detection
- path planning
- detecting anomalies
- structured environments
- network traffic
- network anomaly detection
- anomalous behavior
- obstacle avoidance
- multiagent systems
- intrusion detection system
- data assimilation
- network intrusion detection
- robot control
- one class support vector machines
- detect anomalies
- unsupervised learning
- machine learning
- autonomous agents
- neural network
- negative selection algorithm
- mobile robot
- supervised learning
- learning algorithm
- cumulative sum