Smart Security Audit: Reinforcement Learning with a Deep Neural Network Approximator.
Konstantin PozdniakovEduardo AlonsoVladimir StankovicKimberly TamKevin D. JonesPublished in: CyberSA (2020)
Keyphrases
- neural network
- reinforcement learning
- function approximators
- intrusion detection
- function approximation
- smart grid
- reinforcement learning algorithms
- information security
- access control
- artificial neural networks
- security requirements
- state space
- learning capabilities
- network security
- feed forward
- security systems
- machine learning
- pattern recognition
- fuzzy logic
- fault diagnosis
- genetic algorithm
- computer security
- feed forward neural networks
- multi agent
- anomaly detection
- network architecture
- fuzzy neural network
- statistical databases
- security issues
- markov decision processes
- learning process
- model free
- smart environments
- security policies
- data mining techniques
- neural network model
- intrusion detection system
- multi layer
- neural nets
- back propagation
- information systems
- key management
- learning tasks
- cyber security
- learning algorithm
- security level
- neural network is trained
- advanced metering infrastructure