信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2025, Vol. 51 ›› Issue (1): 20-24.doi: 10.12267/j.issn.2096-5931.2025.01.003

专题:网络安全 上一篇    下一篇

生成式人工智能应用于制造业的网络安全风险及对策研究

Research on cyber security risks and countermeasure of generative artificial intelligence in manufacturing industry

李诗婧, 赵爽   

  1. 中国信息通信研究院安全研究所,北京 100191
  • 收稿日期:2024-12-10 出版日期:2025-01-25 发布日期:2025-02-14
  • 作者简介:
    李诗婧,中国信息通信研究院安全研究所工程师,长期从事工业互联网安全、人工智能、网络安全、数据安全等领域相关研究工作;
    赵爽,中国信息通信研究院安全研究所高级工程师,长期从事工业互联网安全、人工智能、网络安全、数据安全等领域相关研究工作。

LI Shijing, ZHAO Shuang   

  1. Security Research Institute, China Academy of Information and Communications Technology, Beijing 100191, China
  • Received:2024-12-10 Online:2025-01-25 Published:2025-02-14

摘要:

自2022年ChatGPT的出现,到2024年Sora发布,生成式人工智能再次成为大众关注的焦点。生成式人工智能作为新一代人工智能的重要部分,正加速融入经济社会,促进传统产业生产方式的变革和流通路径的升级,打造数字产业集群,对制造业数字化和智能化转型的催化作用也逐渐显现。然而基于大数据训练实现的自动化内容生成也引发新的网络安全风险,生成有害内容、数据泄露等问题日益突出。通过对生成式人工智能与制造业融合发展及安全态势进行综合分析,科学论证生成式人工智能应用于制造业面临的网络安全风险,并提出有关应对策略。

关键词: 生成式人工智能, 制造业, 网络安全, 大模型

Abstract:

Since the appearance of ChatGPT in 2022 and the release of Sora in 2024, generative artificial intelligence has become the focus of public attention once again. As an important part of the new generation of artificial intelligence, generative artificial intelligence is accelerating its integration into the economy and society, promoting the transformation of traditional industrial production methods and the upgrading of circulation paths, creating digital industrial clusters. Generative artificial intelligence gradually shows its catalytic role in the digitalization and intelligent transformation of manufacturing. However, the automatic content generation based on big data training also leads to new cyber security risks, and the problems such as harmful content generation and data leakage are becoming increasingly prominent. Through a comprehensive analysis of the integrated development and security situation, this paper scientifically demonstrates the cyber security risks faced by the application of generative artificial intelligence in manufacturing industry, and puts forward relevant countermeasures.

Key words: generative artificial intelligence, manufacturing industry, cyber security, foundation model

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