Title :
Intrusion Detection Using SVM
Author :
Liu Wu ; Ren Ping ; Liu Ke ; Duan Hai-xin
Author_Institution :
Network Res. Center, Tsinghua Univ., Beijing, China
Abstract :
This paper considers anomaly detection using an improved probabilistic neural networks. We first introduce a Basic Adaptive Boost Algorithm (BABA) and analysis its drawbacks and then introduce an Improved Adaptive Boost Algorithm (IABA) to classify the detected event as normal or intrusive.
Keywords :
computer network security; neural nets; support vector machines; BABA; IABA; SVM; anomaly detection; basic adaptive boost algorithm; drawbacks analysis; improved adaptive boost algorithm; intrusion detection; probabilistic neural network; Classification algorithms; Intrusion detection; Neural networks; Neurons; Probabilistic logic; Support vector machine classification; Training;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6250-6
DOI :
10.1109/wicom.2011.6040153
