Data Corpora for Digital Forensics Education and Research
Data Corpora for Digital Forensics Education and Research
复制标题
用于数字取证教育和研究的数据语料库
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Christian Winter
中科院分区：
文献类型：
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作者：
York Yannikos;L. Graner;M. Steinebach;Christian Winter
数据语料库是数字取证教育和研究的重要内容。一些语料库可供学术界使用；这些范围从几兆字节的小型手动创建的数据集到许多tb的实际数据。然而，不同的语料库适用于不同的取证任务。例如，真实的数据语料库通常用于测试取证工具的有效性和效率等属性，但是这些语料库通常缺乏对执行正确评估至关重要的基本事实。合成数据语料库可以支持工具开发和测试，但前提是生成语料库的方法保证数据具有现实的属性。
Data corpora are very important for digital forensics education and research. Several corpora are available to academia; these range from small manually-created data sets of a few megabytes to many terabytes of real-world data. However, different corpora are suited to different forensic tasks. For example, real data corpora are often desirable for testing forensic tool properties such as effectiveness and efficiency, but these corpora typically lack the ground truth that is vital to performing proper evaluations. Synthetic data corpora can support tool development and testing, but only if the methodologies for generating the corpora guarantee data with realistic properties.