Name
Abstract | ||
|---|---|---|
Understanding the Hadoop Distributed File System (HDFS) is currently an important issue for forensic investigators because it is the core of most Big Data environments. The HDFS requires more study to understand how forensic investigations should be performed and what artifacts can be extracted from this framework. The HDFS framework encompasses a large amount of data; thus, in most forensic analyses, it is not possible to gather all of the data, resulting in metadata and logs playing a vital role. In a good forensic analysis, metadata artifacts could be used to establish a timeline of events, highlight patterns of file-system operation, and point to gaps in the data. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.diin.2017.11.004 | Digital Investigation |
Keywords | DocType | Volume |
Digital forensic,Hadoop,HDFS,Log analysis,Metadata forensics | Journal | 24 |
ISSN | Citations | PageRank |
1742-2876 | 0 | 0.34 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mariam Khader | 1 | 1 | 1.98 |
| Ali Hadi | 2 | 0 | 1.35 |
| Ghazi Al-Naymat | 3 | 154 | 13.68 |