Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing.
Geethu JosephChen ZhongMustafa Cenk GursoySenem VelipasalarPramod K. VarshneyPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- learning algorithm
- intrusion detection
- unsupervised learning
- one class support vector machines
- connectionist systems
- network intrusion detection
- computer security
- detecting anomalies
- learning process
- negative selection algorithm
- supervised learning
- maximum likelihood
- pattern recognition
- support vector
- intrusion detection system
- network traffic
- reinforcement learning
- genetic algorithm
- network anomaly detection
- neural network