A byte sequence is worth an image: CNN for file fragment classification using bit shift and n-gram embeddings

A byte sequence is worth an image: CNN for file fragment classification using bit shift and n-gram embeddings

File fragment classification (FFC) on small chunks of memory is essential in memory forensics and Internet security. Existing methods mainly treat file fragments as 1d byte signals and utilize the captured inter-byte features for classification, while the bit information within bytes, i.e., intra-by...

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Bibliographic Details
Main Authors: Liu, Wenyang, Wang, Yi, Wu, Kejun, Yap, Kim-Hui, Chau, Lap-Pui
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Computer and Information Science
Convolutional Neural Networks
File fragment classification
Byte2image
Memory forensics
Online Access:https://hdl.handle.net/10356/174534

Internet

https://hdl.handle.net/10356/174534

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