Self Organizing Maps to Build Intrusion Detection System

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چکیده

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Self Organizing Maps to Build Intrusion Detection System

With the rapid expansion of computer usage and computer network the security of the computer system has became very important. Every day new kind of attacks are being faced by industries. Many methods have been proposed for the development of intrusion detection system using artificial intelligence technique. In this paper we will have a look at an algorithm based on neural networks that are su...

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Dynamic Intrusion Detection Using Self-Organizing Maps

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.

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In this paper, we analyze the potential of using Emergent SelfOrganizing Maps (ESOMs) based on Kohonen Self –Organizing maps in order to detect intrusive behaviours. The proposed approach combines machine learning and information visualization techniques to analyze network traffic and is based on classifying “normal” versus “abnormal” traffic. The results are promising as they show the ability ...

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Intrusion Detection System Using Self Organizing Map

The goal of the article is to presents intrusion detections systems and design architecture of intrusion detection based on neural network self organizing map. In the report is described base problematic of neural network and intrusion detection system. The article further deals with specific design of intrusion detection architecture based on user anomaly behavior. A core of the designed archi...

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ژورنال

عنوان ژورنال: International Journal of Computer Applications

سال: 2010

ISSN: 0975-8887

DOI: 10.5120/191-328