A New Intrusion Detection System in Data Mining & Fuzzy Logic

Provided by: International Journal of Modern Engineering Research (IJMER)
Topic: Security
Format: PDF
The computers abnormal activities are identified by system defense. Traditional intrusion detection relays on extensive knowledge of traditional expertise, in particular, on the familiarity with the systems to be protected. To reduce this dependence, various data-mining and machine learning techniques have been used in the literature. In the proposed system, the authors have designed fuzzy logic-based system for effectively identifying the intrusion activities within a network. Currently available intrusion detection systems focus mainly on determining uncharacteristic system events in distributed networks using signature based approach.

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