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

• المؤلفون الرئيسيون: Wang, Yi, Liu, Wenyang, Wu, Kejun, Yap, Kim-Hui, Chau, Lap-Pui
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Computer and Information Science; File fragment classification; File carving; Memory forensics; Contextual information; Self-attention
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/174537
• المؤسسة: 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...