Edge computing and AIoT based network intrusion detection mechanism

Edge computing technology solves the shortcomings of high latency, mobility and location awareness in remote cloud computing, but it also brings many security challenges to the AIoT. In view of the open and heterogeneous characteristics of edge network, a more secure edge computing intrusion detection method is studied in this paper. The main idea is to combine edge computing with AIoT to realize edge smart interconnection. This method optimizes the weight value in machine learning by increasing the screening and mitigation of cloud server training samples, so as to provide efficient and accurate edge intrusion detection behavior. The experimental results show that the proposed method can more effectively improve the detection accuracy and reduce the detection time.