An Artificial Immune System for Misbehavior Detection in Mobile Ad-Hoc Networks with Virtual Thymus, Clustering, Danger Signal and Memory Detectors.
Slavisa SarafijanovicJean-Yves Le BoudecPublished in: Int. J. Unconv. Comput. (2005)
Keyphrases
- object detection
- signal detection
- k means
- automatic detection
- detection algorithm
- clustering method
- clustering algorithm
- signal processing
- detection accuracy
- false alarms
- non stationary
- anomaly detection
- virtual world
- unsupervised learning
- augmented reality
- data clustering
- spectral clustering
- low signal to noise ratio
- memory requirements
- data points
- false positives
- virtual environment
- matched filter
- generalized likelihood ratio
- noisy environments
- neural network
- artificial immune system
- object detectors
- hierarchical clustering
- detection rate
- main memory
- detection method