Edge cloud anomaly detection method based on network structure learning

Abstract

The invention discloses an edge cloud anomaly detection method based on network structure learning. The method comprises the following steps of cloud computing center data acquisition, network structure learning, and edge cloud anomaly detection and early warning. The cloud computing center data acquisition refers to performing network topology structure construction and feature extraction on edgeclouds; the network structure learning refers to learning and training the constructed network structure; and the edge cloud anomaly detection and early warning means that anomaly prediction is performed on the edge cloud by using the learned network structure, and the cloud system is notified of the node which predicts anomaly for early warning. According to the method, in the aspect of predicting the edge clouds with abnormal behaviors, the independence hypothesis of a traditional method is broken through, and the possible relevance between the edge clouds is considered by learning a network structure, so that the purpose of improving the edge cloud anomaly detection accuracy is achieved. The method is of great help to edge cloud anomaly detection and security assurance in a cloud computing system, and has a very high application value.

Description

technical field [0001] The invention relates to edge cloud anomaly detection in the field of cloud computing, in particular to an edge cloud anomaly detection method based on network structure learning, which belongs to the technical field of data security. Background technique [0002] Edge computing migrates some or all of the computing tasks of the original cloud computing model to the edge of the network, effectively reducing the network bandwidth and computing load of the cloud data center, and can also solve the specific requirements of certain tasks such as high latency requirements. , frequent movement, strong geographic information perception, etc., the edge computing model has also attracted extensive attention from academia and industry. A typical edge cloud computing system includes modules such as cloud computing centers, edge cloud networks, and terminal access devices. [0003] Edge cloud computing is close to users, which makes edge computing also face a ser...

AI Technical Summary

Problems solved by technology

However, the existing intrusion detection technology only pays attention to the statistical properties of edge cloud nodes, regards each edge cloud as an independent individual, and ignores the correlation between edge nodes

The existing network embedding technology also has the problem of network structure completeness dependence

Images