数字取证数据集元数据的公平与公正性--以及如何加以改进

IF 2 4区医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Forensic Science International-Digital Investigation Pub Date : 2024-03-01 DOI:10.1016/j.fsidi.2023.301681

Samuele Mombelli , James R. Lyle , Frank Breitinger

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摘要

研究数据（数据集）的可用性以及与 FAIR 原则（可查找性、可访问性、互操作性和可重用性）的一致性对于数字取证的发展至关重要。本研究使用 NIST 计算机取证参考数据集门户网站 (CFReDS) 中的所有 212 个数据集评估元数据的完整性，并评估与 FAIR 原则的一致性。研究结果突出了元数据质量和 FAIR 合规性方面的不足，强调了改进数据管理标准的必要性。在严格审查的基础上，我们提出并讨论了改善现状的各种方法。

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FAIRness in digital forensics datasets’ metadata – and how to improve it

The availability of research data (datasets) and compliance with FAIR principles—Findability, Accessibility, Interoperability, and Reusability—is critical to progressing digital forensics. This study evaluates metadata completeness and assesses the alignment with the FAIR principles using all 212 datasets from NIST's Computer Forensic Reference DataSet Portal (CFReDS). The findings underscore deficiencies in metadata quality and FAIR compliance, emphasizing the need for improved data management standards. Based on our critical review, we then propose and discuss various approaches to improve the status quo.

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