Journal Article

Cloud edge cooperative attack recognition based on CNN

Zhang, Xibo, Zhang, Yan, Ju, Xiaoming, Ran, Qingwen

2020

Overview

In recent years, the concept of cloud edge collaboration has been proposed, which uses some operations of edge and cloud to complete all kinds of collaboration, and has produced various applications in various fields. CNN is one of the hot spots of scientific research, and has excellent performance in the field of image voice. In view of these advantages, combined with the cooperation of CNN and cloud edge, this paper proposes cloud edge collaborative attack recognition based on CNN. The attack recognition model is trained by using CNN and open source data set, and cloud edge collaboration is realized by data and model transmission between edge and cloud. This method realizes the security collaboration between the cloud and the edge, and reduces the resource pressure of the cloud. At the same time, the cooperation of multiple edge ends increases the security identification ability of the cloud and improves the security coordination between the cloud and the edge.

• Publisher: IOP Publishing