In order to solve the problem that there are a large number of unknown protocols on network, which affect network management and security in varying degrees, an binary protocol identification method is proposed. On premise center cluster obtained by clustering algorithm, for traffic identified combining one-class classification with one-dimensional CNN technology. At first, class algorithm used...

fuzzy rule-based classification system (frbcs) is a popular machine learning technique for classification purposes. one of the major issues when applying it on imbalanced data sets is its biased to the majority class, such that, it performs poorly in respect to the minority class. however many cases the minority classes are more important than the majority ones. in this paper, we have extended ...