SIFT -- File Fragment Classification Without Metadata. (arXiv:2310.03831v1 [cs.CR])

A vital issue of file carving in digital forensics is type classification of
file fragments when the filesystem metadata is missing. Over the past decades,
there have been several efforts for developing methods to classify file
fragments. In this research, a novel sifting approach, named SIFT (Sifting File
Types), is proposed. SIFT outperforms the other state-of-the-art techniques by
at least 8%. (1) One of the significant differences between SIFT and others is
that SIFT uses a single byte as a …

classification digital digital forensics file filesystem forensics fragments issue metadata missing novel research sift types