File Fragment Classification (FFC) involves determining the file type from a fragment of binary data, a critical function in digital forensics and cybersecurity fields. Recent advancements have integrated deep learning approaches, such as convolutiona...
File Fragment Classification (FFC) involves determining the file type from a fragment of binary data, a critical function in digital forensics and cybersecurity fields. Recent advancements have integrated deep learning approaches, such as convolutional neural networks and transformers, to enhance the accuracy and efficiency of this task. In this paper, we aim to present the evolution of FFC through deep learning methodologies and discuss future directions for development in this field.