Abstract
In this paper, based on the characteristics of industrial control network security data, research data analysis and data storage technology, design and development of industrial control network security data acquisition system, and through the AFL fuzz method for fuzzy testing, improve the system’s robustness and endogenous security performance. The realization of massive heterogeneous data collection and efficient normalization of industrial control networks can better serve the data layer and promote the rapid development of digitalization of industrial enterprises.
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