Intrusion detecting algorithm based on fuzzy cluster
Dazhi Linghu · Journal of Liaoning Technical University · 2008
In view of the differences in the attributes of each word section in the data and the deficiency in analyzing the role degree of intrusion and for the purpose of mitigating the high error rate in fuzzy intrusion detection,the problem of equivalent conversion distortion was tested and verified and fuzzy clustering process was reformed with dynamic seef feed back theory.The types of intrusion data and their roles in the intrusion were analyzed.The seef feedback fuzzy clustering method for mixed data was established.On the above basis, the intrusion detecting system was constructed.Experiments prove that this method can effectively increase the detecting rate of the intrusion detecting engine,reduce its error rate and mitigate the above problem.