Biologically Inspired Anomaly Detection and Security Control Frameworks for Complex Heterogeneous Networks.
Fazirulhisyam HashimKumudu S. MunasingheAbbas JamalipourPublished in: IEEE Trans. Netw. Serv. Manag. (2010)
Keyphrases
- anomaly detection
- biologically inspired
- heterogeneous networks
- intrusion detection
- computer security
- network security
- malware detection
- anomalous behavior
- detecting anomalies
- network traffic
- intrusion detection system
- network intrusion detection
- information security
- detect anomalies
- unsupervised learning
- network anomaly detection
- negative selection algorithm
- social networks
- intrusion prevention
- biological systems
- humanoid robot
- high level
- heterogeneous information networks
- spiking neural networks
- link prediction
- random walk
- data mining techniques
- one class support vector machines
- similarity measure
- computer vision