DFS3: automated distributed file system storage state reconstruction
DFS3: automated distributed file system storage state reconstruction
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DFS3:自动化分布式文件系统存储状态重建
DOI:
10.1145/3407023.3407056
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Glisson, William
中科院分区:
文献类型:
--
作者:
Harshany, Edward;Benton, Ryan;Bourrie, David;Black, Michael;Glisson, William
Distributed file systems present distinctive forensic challenges in comparison to traditional locally mounted file system volume. Storage device media can number in the thousands, and forensic investigations in this setting necessitate a tailored approach to data collection. The Hadoop Distributed File System (HFDS) produces and maintains partially persistent metadata that is pursuant with a logical volume, a file system, and file addresses on the centralized server. Hence, this research investigates the viability of using a residual central server digital artifact to generate a history model of the distributed file system. The history model affords an investigator a high-level perspective of low-level events to narrow investigative process obligations. The model is generated through set-theoretic relations of the file system essential data structure. Graph-theoretic ordering is applied to the events to provide a history model. The research contribution is a rapid reconstruction of the HDFS storage state transitions generating timelines for system events to forensically assess HDFS properties with conceptual similarity to traditional low-level file system forensic tool output. The results of this research provide a prototype tool, DFS3, for rapid and noninvasive data storage state timeline reconstruction in a big data distributed file system.
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DOI:
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发表时间:
2006
期刊:
影响因子:
--
作者:
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通讯作者:
I. Wakeman
DOI:
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发表时间:
2012
期刊:
Digital Investigation. The International Journal of Digital Forensics and Incident Response
影响因子:
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DOI:
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发表时间:
2020
期刊:
Hawaii International Conference on System Sciences
影响因子:
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DOI:
--
发表时间:
--
期刊:
影响因子:
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作者:
Edward Harshany;Ryan Benton;David M. Bourrie;W. Glisson
通讯作者:
W. Glisson