A multi-factor real-time monitoring mechanism for the “mining” behavior of blockchain networks

abstract-The production process of virtual digital currency is called “mining”, which has large energy consumption and carbon emissions, low contribution to the national economy, and limited driving effect on industrial development and scientific and technological progress. In addition, the risks arising from the production and trading of virtual digital currencies are becoming more prominent, and their blind and disorderly development has adverse effects on the promotion of high-quality economic and social development and energy conservation and emission reduction. By collecting mining traffic, this paper builds a blockchain illegal mining behavior detection model, adopts multi-factor threshold analysis method to model mining behavior, and uses LightGBM algorithm model to train mining behavior monitoring model, conducts real-time detection of mining behavior, timely and accurately identifies and blocks illegal mining behavior, and realizes monitoring of illegal mining behavior.