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铁路智能应用中数据安全与防护技术研究

Research on data security and protection technologies in intelligent railway applications

  • 摘要: 数字化、网络化和智能化构成了铁路新质生产力的基础特征,而数据安全则是确保新质生产力持续发展的重要保障。随着人工智能技术在铁路行业的广泛应用,相关技术的进步显著提升了铁路运营的效率和安全性,同时也暴露出亟须重视的数据安全问题。文章结合铁路的智能应用场景,分析了铁路中存在的数据安全风险与防护需求,介绍了数据脱敏、隐私计算和数据加密等数据安全与防护技术,并探讨了这些技术在铁路业务场景中的应用。最后,文章对当前铁路数据安全与防护技术的发展方向进行了阐述,指出随着数据复杂性的加剧及人工智能和大模型的快速发展,铁路的数据安全面临着更为严峻的挑战。研究结果旨在为铁路数据安全与防护工作提供技术支持,助力铁路行业在智能化转型过程中建立更加安全可靠的数据保护体系。

     

    Abstract: Digitization, networking, and intelligence constitute the fundamental characteristics of railway new productive force, and data security is an important guarantee for ensuring the sustainable development of new productive force. With the widespread application of artificial intelligence technology in the railway industry, the progress of related technologies has significantly improved the efficiency and safety of railway operations, while also exposed the urgent need to pay attention to data security issues. This paper combined the intelligent application scenarios of railways to analyze the data security risks and protection requirements in railways, introduced data security and protection technologies such as data desensitization, privacy computing, and data encryption, and explores the application of these technologies in railway business scenarios. It elaborated on the current development direction of railway data security and protection technology, pointed out that with the increasing complexity of data and the rapid development of artificial intelligence and big models, railway data security was facing more severe challenges. The research results aim to provide technical support for railway data security and protection work, and help the railway industry establish a more secure and reliable data protection system in the process of intelligent transformation.

     

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