Industrial IoT heterogeneous device access authentication for enterprise production management

To address the low accuracy, lengthy duration, and poor application effects of traditional methods, an industrial IoT heterogeneous device access authentication method for enterprise production management is proposed. This method utilises grey prediction techniques for predicting industrial IoT communication channel resources and constructing a communication channel model for industrial IoT. Based on the constructed model, industrial IoT communication data is obtained and the AdaBoost algorithm is employed to identify the identities of the industrial IoT heterogeneous devices. Leveraging enterprise production management as the foundation for the construction of the heterogeneous device access authentication architecture, this architecture combines the identity recognition results and achieves device access authentication through steps such as key initialisation, key extraction, and mutual authentication. The experimental results demonstrate that this method achieves a maximum authentication accuracy of 97.6%, a maximum authentication time of 84.1 ms, and exhibits good application effects.