Intrusion Behavior Identification Method of Microservice Communication Network in Cloud-Side Environment
The intrusion behavior of communication network is diverse,and the effect of intrusion behavior identification is difficult to guarantee.Therefore,a method of intrusion behavior identification of micro-service communication network in cloud environment is proposed.The nonlinear transformation function is introduced to semi-supervised learn the intrusion behavior characteristics of micro-service communication network,and the parameters of feature vectors are obtained by mapping the original intrusion behavior to high-dimensional space.The attention mechanism is introduced into the network intrusion behavior identification model based on the improved noise-reducing self-coding network,and the specific intrusion behavior is judged according to the difference between the reconstruction error of network state data and the set threshold of network intrusion behavior characteristics.In the test results,different types of intrusion attacks can be accurately identified without false positives.
micro-service communication networkintrusion behavior recognitionnonlinear transformation functionsemi-supervised learningattention mechanism
万方数据
维普
