中圖分類(lèi)號(hào)：TP3092文獻(xiàn)標(biāo)志碼：ADOI:10.19358/j.issn.2097-1788.2026.05.003
中文引用格式：廖東陽(yáng)，周建鈞，周翔明. 基于大模型技術(shù)的商煙物流工控安全優(yōu)化研究［J］.網(wǎng)絡(luò)安全與數(shù)據(jù)治理，2026，45（5）：18-23.
英文引用格式：Liao Dongyang，Zhou Jianjun，Zhou Xiangming. Research on industrial control security optimization of commercial tobacco logistics based on large model technology［J］.Cyber Security and Data Governance，2026，45（5）：18-23.

Research on industrial control security optimization of commercial tobacco logistics based on large model technology

Abstract： Aiming at the problems of high false alarm rate, rigid strategy, insufficient operation and maintenance, and lack of closed-loop in the traditional industrial control security protection system of the commercial tobacco logistics center, this article takes the industrial control system of the center as the research object, integrates large language model technology to construct a five layer closed-loop protection system of "perception-analysis-decision-response-optimization", integrates core technologies such as multi-source data fusion analysis and intelligent strategy dynamic configuration, and designs four functional modules. The research results show that after optimization, the false alarm rate of the system has been reduced to 4.8%, the accuracy of anomaly recognition has reached 96.2%, the response time to security incidents has been shortened by 75%, the duration of business interruption and the workload of operation and maintenance have been significantly reduced, which can effectively resist various common industrial control security attacks. The system is adapted to the characteristics of commercial tobacco logistics business, has replicability and scalability, and provides a practical template for upgrading the industrial control security protection in the tobacco industry.

Key words : large language model; commercial tobacco logistics center; industrial control security; closed-loop protection system; multi-source data fusion; intelligent strategy configuration