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Modeling Unknown Malware Attack Prevention Detection Using Datamining and Object Oriented Rule Mining Based on Fuzzy Logic

S. Murugan

Abstract


Fuzzy logic based methods together with the techniques from Artificial Intelligence have gained importance. Data mining techniques, Association rules together with fuzzy logic to model the fuzzy association rules are being used for classifying data. These togetherness are producing better results. The present paper proposes a model for Unknown Malware attack prevention detection based on fuzzy association rules which use genetic programming. As the model includes the data mining and object oriented rule mining base on fuzzy logic where the three collectively tries to detect the Unknown Malware to a great extent. This paper explores the details of this growing danger and subsequently provides an evaluation of the various technologies available to counter the risk.

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References


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