Intelligent Recognition Model for IoT Terminal Devices Based on Message Business Logic Features
Fangliao Yang, Shichao Zhu, Mingguang Li, Lailong Luo, Bangbang Ren, Yuhui Cai · 2024
With the access of massive electric power IOT terminals, the adaptive access and automatic management of electric power IOT terminals are facing serious challenges, and there is an urgent need for electric power IOT terminal perception recognition technology to provide support for them. Aiming at the problem that most of the existing researches are based on the information at the level of traffic statistical features and the recognition accuracy is not high, the article proposes an intelligent recognition model of IOT terminal equipment based on the business logic features of telegrams, adopts a variety of techniques to collect business traffic and extract the traffic features, and then carries out business classification to form the business set of normal traffic through the Classification and Regression Tree (CART) to construct the intelligent recognition model of IOT terminal equipment based on business logic features, and realises the business traffic features. Intelligent identification model is constructed based on business logic features to achieve intelligent identification of devices at the fine-grained level of business traffic logic instruction level. Experimental results show that the proposed method can accurately identify access terminals and support high-precision identification and refined management of IOT terminals.