Add to ORKGAbstract – A system is described for applying hierarchical unsupervised neural networks (self organizing feature maps) to the intruder detection problem. Specific emphasis is given to the representation of time and the incremental development of a hierarchy. Preliminary results are given for the DARPA 1998 Intrusion Detection Problem
Abstract. Anomaly detection attempts to recognize abnormal behavior to detect intrusions. We have co...
In this paper, we analyze the potential of using Emergent Self-Organizing Maps (ESOMs) based on Koho...
Intrusion Detection System (IDS) protects a system by detecting “known ” as well as “unknown ” attac...
International audienceIt is a well-known problem that intrusion detection systems overload their hum...
A novel technique based on an improved growing hierarchical self-organizing maps (GHSOM) neural netw...
While many techniques have been explored for detecting intrusive or abnormal behavior on computer sy...
The accurate detection of attacks in ad hoc computer networks is made significantly more difficult i...
Purely based on a hierarchy of self-organizing feature maps (SOMs), an approach to network intrusion...
Abstract. In this paper, we analyze the potential of using Emergent Self-Organizing Maps (ESOMs) bas...
Recent Intrusion Detection Systems (IDSs) which are used to monitor real-time attacks on computer an...
Abstract:- In this paper we propose a framework for using self-organizing networks for agent based i...
Network intrusion detection technology based on artificial neural network is an important research d...
Internet became one of life’s basics in these days. More networks are connected to the Internet ever...
We have discovered a novel approach of intrusion detection system using an intelligent data classifi...
Abstract. This paper proposes a method to detect network intrusions by using the PCASOM (principal c...
Abstract. Anomaly detection attempts to recognize abnormal behavior to detect intrusions. We have co...
In this paper, we analyze the potential of using Emergent Self-Organizing Maps (ESOMs) based on Koho...
Intrusion Detection System (IDS) protects a system by detecting “known ” as well as “unknown ” attac...
International audienceIt is a well-known problem that intrusion detection systems overload their hum...
A novel technique based on an improved growing hierarchical self-organizing maps (GHSOM) neural netw...
While many techniques have been explored for detecting intrusive or abnormal behavior on computer sy...
The accurate detection of attacks in ad hoc computer networks is made significantly more difficult i...
Purely based on a hierarchy of self-organizing feature maps (SOMs), an approach to network intrusion...
Abstract. In this paper, we analyze the potential of using Emergent Self-Organizing Maps (ESOMs) bas...
Recent Intrusion Detection Systems (IDSs) which are used to monitor real-time attacks on computer an...
Abstract:- In this paper we propose a framework for using self-organizing networks for agent based i...
Network intrusion detection technology based on artificial neural network is an important research d...
Internet became one of life’s basics in these days. More networks are connected to the Internet ever...
We have discovered a novel approach of intrusion detection system using an intelligent data classifi...
Abstract. This paper proposes a method to detect network intrusions by using the PCASOM (principal c...
Abstract. Anomaly detection attempts to recognize abnormal behavior to detect intrusions. We have co...
In this paper, we analyze the potential of using Emergent Self-Organizing Maps (ESOMs) based on Koho...
Intrusion Detection System (IDS) protects a system by detecting “known ” as well as “unknown ” attac...