JOURNAL ARTICLE

Dataset for file fragment classification of textual file formats

Fatemeh Mansouri Hanis, Mehdi Teimouri
BMC Research Notes 2019 December 11, 12 (1): 801
31829258

OBJECTIVES: Classification of textual file formats is a topic of interest in network forensics. There are a few publicly available datasets of files with textual formats. Therewith, there is no public dataset for file fragments of textual file formats. So, a big research challenge in file fragment classification of textual file formats is to compare the performance of the developed methods over the same datasets.

DATA DESCRIPTION: In this study, we present a dataset that contains file fragments of five textual file formats: Binary file format for Word 97-Word 2003, Microsoft Word open XML format, portable document format, rich text file, and standard text document. This dataset contains the file fragments in three different languages: English, Persian, and Chinese. For each pair of file format and language, 1500 file fragments are provided. So, the dataset of file fragments contains 22,500 file fragments.

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