Paper

FiFTy: Large-scale File Fragment Type Identification using Neural Networks

We present FiFTy, a modern file type identification tool for memory forensics and data carving. In contrast to previous approaches based on hand-crafted features, we design a compact neural network architecture, which uses a trainable embedding space, akin to successful natural language processing models... (read more)

Results in Papers With Code
(↓ scroll down to see all results)