KPLS approach for network intrusion feature extraction and detection
Huihua Yang, Xingyu Wang, Qian He · Kongzhi yu juece · 2005
A novel KPLS based network intrusion feature extraction and detection approach is put forward, among which KPLS serves as simultaneously a non-linear feature extractor and a decision maker. KPLS approach bears the merits that it can not only extract orthogonal score vectors from explanatory variables, but also remain good correlation with response variables. The feature extraction procedure and decision making procedure can be achieved at one time. The novel method is applied to an up-to-date Linux-hosted IDS experimental system and better performance is attained in comparison to SVM and KPCR etc.