A feasible intrusion detector for recognizing IIS attacks based on neural networks.
Shi-Jinn HorngPingzhi FanYao-Ping ChouYen-Cheng ChangYi PanPublished in: Comput. Secur. (2008)
Keyphrases
- neyman pearson
- neural network
- malicious users
- network intrusion
- network intrusions
- denial of service attacks
- intrusion detection
- intrusion detection system
- intrusion detection and prevention
- attack scenarios
- network intrusion detection systems
- fuzzy logic
- anomaly detection
- back propagation
- genetic algorithm
- network intrusion detection
- countermeasures
- network attacks
- attack detection
- malicious attacks
- automatic recognition
- network security
- pattern recognition
- multi layer
- traffic analysis
- recurrent neural networks
- malicious activities
- web server
- fault diagnosis
- artificial neural networks
- data mining
- fuzzy systems
- website
- database systems
- misuse detection
- digital images
- alert correlation
- radial basis function
- security risks
- dos attacks
- security mechanisms
- sensitive data