Title :
IABA: An improved PNN Algorithm for anomaly detection in network security management
Author :
Liu Wu ; Duan Hai-xin ; Ren Ping ; Wu, Liu
Author_Institution :
Network Res. Center, Tsinghua Univ., Beijing, China
Abstract :
Anomaly Detection is very difficult in network security management. In this paper, we consider 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 management; computer network security; neural nets; anomaly detection; basic adaptive boost algorithm; improved probabilistic neural networks; network security management; probabilistic neural network; Artificial neural networks; Classification algorithms; Intrusion detection; Kernel; Probabilistic logic; Support vector machine classification; Training; Intrusion Detection System; Network Security; Probabilistic Neural Network;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583161
