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铁路金融数据安全风险分析与防护研究

Security risk analysis and protection of railway financial data

  • 摘要: 为应对铁路金融业务发展过程中日益严峻的数据安全挑战,以及不断强化的行业监管与合规要求,全面提升数据安全整体防护能力,文章基于数据全生命周期管理理念和数据安全3要素,梳理并分析了铁路金融数据在各流转环节中对应的多维安全风险和具体业务场景。从安全管理与技术防护2个维度,构建了铁路金融数据安全防护框架,通过将身份认证、访问控制、数据加密、隐私计算、数据水印、备份容灾等多种安全技术与实际业务场景深度融合,形成覆盖数据全生命周期的主动防护技术架构,为安全管理策略的落地执行提供可靠支撑。

     

    Abstract: To cope with the increasingly severe data security challenges, stricter industrial supervision and compliance requirements arising from the development of railway financial businesses, and comprehensively improve the overall data security protection capacity, this paper sorted out and analyzed multi-dimensional security risks and corresponding specific business scenarios of railway financial data across all circulation stages based on the full data lifecycle management concept and the three core elements of data security. The paper constructed a security protection framework for railway financial data from two dimensions: security management and technical protection. It deeply integrated multiple security technologies including identity authentication, access control, data encryption, privacy computing, data watermarking, backup and disaster recovery with practical business scenarios, and formed an active protection technical architecture covering the full data lifecycle, which provides reliable support for the implementation of security management strategies.

     

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