This paper evolves around Intrusion Detection System (IDS) and Neural Network (NN). Intrusion detection systems are gaining more and more territory in the field of secure networks and new ideas and concepts regarding the intrusion detection process keep surfacing. One idea is to use a neural network algorithm for detecting intrusions. The neural network algorithms have the ability to be trained and 'Learn' so called patterns in a given environment. This feature can be used in connection with an intrusion detection system, where the neural network algorithm can be trained to detect intrusions by recognizing patterns of an intrusion. This paper outlines an investigation on the unsupervised neural network models and choice of one of them for evaluation and implementation.
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