Big Data Forensics: Hadoop 3.2.0 Reconstruction

被引：1
|
作者：
Harshany, Edward [1 ]
Benton, Ryan [1 ]
Bourrie, David [1 ]
Glisson, William [2 ]
机构：
[1] Univ S Alabama, Sch Comp, Mobile, AL 36688 USA
[2] Sam Houston State Univ, Coll Sci & Engn Technol, Huntsville, TX 77342 USA
来源：
FORENSIC SCIENCE INTERNATIONAL-DIGITAL INVESTIGATION | 2020年 / 32卷 / 0S期
基金：
美国国家科学基金会;
关键词：
Hadoop; Forensics; Big data; Reconstruction;
D O I：
10.1016/j.fsidi.2020.300909
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Conducting digital forensic investigations in a big data distributed file system environment presents significant challenges to an investigator given the high volume of physical data storage space. Presented is an approach from which the Hadoop Distributed File System logical file space is mapped to the physical data location. This approach uses metadata collection and analysis to reconstruct events in a finite time series. Published by Elsevier Ltd.
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页数：2
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