Image representation and deep inception-attention for file-type and malware classification

• Main Authors: Wang, Yi, Wu, Kejun, Liu, Wenyang, Yap, Kim-Hui, Chau, Lap-Pui
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Image representation; Self-attention; Memory forensics; File-type classification; Malware analysis
• Online Access: https://hdl.handle.net/10356/174535
• Institution: Nanyang Technological University

File-type classification aims to recognize the file types of files/fragments without file-system metadata, which is essential for memory forensics and data recovery. In this paper, we introduce an image representation and deep inception-attention manner for file-type classification. Specifically, we...