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数据跟踪作为可靠计量数据的科学基础:对未来计量学方向的审查
Zhanshuo Cao1, Boyong Gao1, Zilong Liu2,3
1China Jiliang University, Hangzhou, Zhejiang, China.
PeerJ. Computer science
|September 24, 2025
概括
确保可靠的测量数据在数字计量学中至关重要. 本审查审查了数据跟踪检测技术,以识别改和提高整个测量生命周期的数据完整性.
科学领域:
- 计量学和测量科学 计量学和测量科学
- 信息安全 信息安全
- 数字化转型 数字化转型
背景情况:
- 计量学领域的数字化转型需要强大的数据完整性措施.
- 测量数据的可靠性受到生成,传输和存储漏洞的挑战.
- 数据跟踪提供了一个检测恶意活动和确保数据完整性的机制.
研究的目的:
- 系统地审查用于可靠检测测量数据的核心技术.
- 在数据生命周期中分析数据跟踪检测方法.
- 评估这些方法在识别数据改,未经授权访问和异常操作方面的适用性和局限性.
主要方法:
- 对相关核心技术进行系统的文献审查.
- 对数据生命周期不同阶段应用的各种检测方法的分析.
- 评估识别数据改,未经授权访问和异常操作的方法.
主要成果:
- 数据跟踪检测提高了计量数据的可追溯性和透明度.
- 这些技术为建立可靠的数字计量系统提供技术支持.
- 鉴定了当前检测方法在现实世界部署方面的局限性.
结论:
- 痕迹检测技术对于确保数字计量系统的安全至关重要.
- 该审查为开发自动异常检测和法医技术提供了基础.
- 未来的研究应该专注于将技术与计量标准和现实世界的验证保持一致.
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