数字取证的自动化:为社区提供定义
Gaëtan Michelet1, Frank Breitinger1, Graeme Horsman2
1School of Criminal Justice, University of Lausanne, 1015 Lausanne, Switzerland.
Forensic science international
|July 6, 2023
概括
在数字法医中建立对自动化的共同理解至关重要. 本研究提出了自动化的定义和分类,超越了各种解释的"狂野西部",以推进这一学科.
科学领域:
- 数字法医学数字法医学
- 计算机科学 计算机科学
背景情况:
- 越来越多的数字证据需要在数字法医中实现自动化.
- 缺乏基本的定义,分类和术语,造成了这个领域自动化的碎片化格局.
- 目前对数字取证自动化的解释各不相同,从简单的关键词搜索到复杂的自主系统.
研究的目的:
- 为了解决数字取证中自动化缺乏明确的基础的问题.
- 建议在学科内对自动化进行标准化定义和分类.
- 培养一种共同的理解,以促进数字取证自动化的进步.
主要方法:
- 从数字取证学和相关领域的自动化文献进行了全面的审查.
- 采访了三个数字法医从业人员.
- 与学术领域的专家进行讨论.
主要成果:
- 在数字法医学的背景下,为自动化提出了一个定义.
- 一个分类框架,区分无/基本自动化和完全 (自主) 自动化.
- 确定在数字取证中实施自动化的关键考虑因素.
结论:
- 关于定义,分类和术语的基础讨论对于数字取证自动化至关重要.
- 对于促进和推进数字法医学科的发展而言,共同的理解至关重要.
- 标准化自动化概念将使数字证据的管理更有效.
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