Network Intrusion Detection System using Fuzzy Logic

Intrusion Detection System (IDS) is used to identify abnormal activities, to monitor events occurring in a computer system and analysing them as whether attack or intrusion should occurred. Most of the organizations have become used because more information and data is stored and process on network based system various data mining and machine learning technique. In the proposed system, we have design fuzzy logic based system for monitoring the intrusion activities. For this proposed system we adapt intrusion detection dataset from KDD Cup 99 dataset.

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