A clustering-based method for unsupervised intrusion detections.
Shengyi JiangXiaoyu SongHui WangJian-Jun HanQing-Hua LiPublished in: Pattern Recognit. Lett. (2006)
Keyphrases
- cost function
- high precision
- detection method
- theoretical analysis
- similarity measure
- optimization method
- multiscale
- preprocessing
- computational cost
- support vector machine
- high accuracy
- unsupervised learning
- clustering method
- neural network
- artificial neural networks
- fully automatic
- classification method
- segmentation method
- support vector
- optimization algorithm
- mutual information
- edge detection
- semi supervised
- pairwise
- significant improvement
- prior knowledge