Add to ORKGA novel technique based on an improved growing hierarchical self-organizing maps (GHSOM) neural network for intrusion detection was presented. The improved GHSOM could deal with a metric incorporating both numerical and symbolic data, and then improved efficiency of intrusion detection. The validities and feasibilities of the improved GHSOM were confirmed through experiments on KDD Cup 99 datasets and simulated experiment datasets. The experiment results shows that the detection rate has been increased by employing the improved GHSOM.EI01121-1263
Internet became one of life’s basics in these days. More networks are connected to the Internet ever...
Anomaly detection in user access patterns using artificial neural networks is a novel way of combati...
Recent Intrusion Detection Systems (IDSs) which are used to monitor real-time attacks on computer an...
Network intrusion detection technology based on artificial neural network is an important research d...
Abstract—The growing hierarchical self organizing map (GH-SOM) has been shown to be an effective tec...
International audienceIt is a well-known problem that intrusion detection systems overload their hum...
Neural networks approach is an advanced methodology used for intrusion detection As a type of neural...
Abstract – A system is described for applying hierarchical unsupervised neural networks (self organi...
Purely based on a hierarchy of self-organizing feature maps (SOMs), an approach to network intrusion...
Intrusion Detection System (IDS) protects a system by detecting “known ” as well as “unknown ” attac...
The rapid development of internet and network technology followed by malicious threats and attacks o...
提出了一种基于改进的生长型分级自组织映射(GHSOM,growing hierarchical self-organizing maps)神经网络的入侵检测方法.改进的GHSOM具有传统GHSOM多层...
Abstract. In this paper, we analyze the potential of using Emergent Self-Organizing Maps (ESOMs) bas...
While many techniques have been explored for detecting intrusive or abnormal behavior on computer sy...
Includes bibliographical references (leaves 71-75).A Network Intrusion Detection System (NIDS) is an...
Internet became one of life’s basics in these days. More networks are connected to the Internet ever...
Anomaly detection in user access patterns using artificial neural networks is a novel way of combati...
Recent Intrusion Detection Systems (IDSs) which are used to monitor real-time attacks on computer an...
Network intrusion detection technology based on artificial neural network is an important research d...
Abstract—The growing hierarchical self organizing map (GH-SOM) has been shown to be an effective tec...
International audienceIt is a well-known problem that intrusion detection systems overload their hum...
Neural networks approach is an advanced methodology used for intrusion detection As a type of neural...
Abstract – A system is described for applying hierarchical unsupervised neural networks (self organi...
Purely based on a hierarchy of self-organizing feature maps (SOMs), an approach to network intrusion...
Intrusion Detection System (IDS) protects a system by detecting “known ” as well as “unknown ” attac...
The rapid development of internet and network technology followed by malicious threats and attacks o...
提出了一种基于改进的生长型分级自组织映射(GHSOM,growing hierarchical self-organizing maps)神经网络的入侵检测方法.改进的GHSOM具有传统GHSOM多层...
Abstract. In this paper, we analyze the potential of using Emergent Self-Organizing Maps (ESOMs) bas...
While many techniques have been explored for detecting intrusive or abnormal behavior on computer sy...
Includes bibliographical references (leaves 71-75).A Network Intrusion Detection System (NIDS) is an...
Internet became one of life’s basics in these days. More networks are connected to the Internet ever...
Anomaly detection in user access patterns using artificial neural networks is a novel way of combati...
Recent Intrusion Detection Systems (IDSs) which are used to monitor real-time attacks on computer an...