Research on the Application of Artificial Intelligence Technology in Network Security Detection
Traditional network security detection technologies are difficult to solve the problems of unlabeled new network traffic,unknown attacks and label scarcity.Therefore,artificial intelligence technology is applied to the network security intrusion detection of above scenarios,and unlabeled network security detection solutions are used to solve the problem of the different feature distributions between the target network domain and the source net-work domain.For the problem of unknown network attacks,a network security detection model for unknown at-tacks is constructed,and for the problem of label scarcity,semi-supervised learning and active learning techniques are combined to construct a network security detection algorithm for label scarcity.
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