Intra- and inter-sector contextual information fusion with joint self-attention for file fragment classification

• Main Authors: Wang, Yi, Liu, Wenyang, Wu, Kejun, Yap, Kim-Hui, Chau, Lap-Pui
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; File fragment classification; File carving; Memory forensics; Contextual information; Self-attention
• Online Access: https://hdl.handle.net/10356/174537
• Institution: Nanyang Technological University

File fragment classification (FFC) aims to identify the file type of file fragments in memory sectors, which is of great importance in memory forensics and information security. Existing works focused on processing the bytes within sectors separately and ignoring contextual information between adjac...