The Design and Implementation of Secure Distributed Image Classification Reasoning System for Heterogeneous Edge Computing

Nowadays, the combination of edge computing and artificial intelligence has become a mainstream trend. Based on edge computing and image classification technologies, we design and implement a secure distributed image classification reasoning system for heterogeneous edge computing. The functions of the system consists of two parts: model distributed deployment and image classification reasoning. Firstly, we have designed three distributed deployment schemes for the model deployment on edge devices: random, static and dynamic deployment schemes. Secondly, we have designed three secure distributed image classification reasoning schemes: uncoded, 2-replication and MDS coding reasoning schemes. These reasoning schemes can protect the security of image data in the process of image reasoning and meet the weak security standard. Our system uses edge devices as computing devices, so it has the advantages of low computing cost and saving bandwidth. The experimental results show that our system can protect the security of image data, also has favorable stability and efficiency under the environment of heterogeneous edge computing.