Ontology highlight
ABSTRACT:
SUBMITTER: Khodadadi A
PROVIDER: S-EPMC6925457 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature
Khodadadi Atieh A Teimouri Mehdi M
BMC research notes 20191221 1
<h4>Objectives</h4>File fragment classification of audio file formats is a topic of interest in network forensics. There are a few publicly available datasets of files with audio formats. Therewith, there is no public dataset for file fragments of audio file formats. So, a big research challenge in file fragment classification of audio file formats is to compare the performance of the developed methods over the same datasets.<h4>Data description</h4>In this study, we present a dataset that conta ...[more]