The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …

While the usage of Artificial Intelligence and Machine Learning Software (AI/MLS) in
defensive cybersecurity has received considerable attention, there remains a noticeable …

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 …

Multimedia file fragment classification (MFFC) aims to identify file fragment types, eg,
image/video, audio, and text without system metadata. It is of vital importance in multimedia …

We present FiFTy, a modern file-type identification tool for memory forensics and data
carving. In contrast to previous approaches based on hand-crafted features, we design a …

File fragment type identification is an important step in file carving and data recovery.
Machine learning techniques, especially neural networks, have been utilized for this …

In digital forensics, classification of file fragments is an important step to complete the file
carving process. There exist several approaches to identify the type of file fragments without …

File fragment classification is an essential problem in digital forensics. Although several
attempts had been made to solve this challenging problem, a general solution has not been …

Digital forensics of visual-based evidence from video surveillance systems and forensic
photographs holds object detection as a key aspect of the process. Recognizing an instance …

In digital forensics, file fragment classification is an important step toward completing file
carving process. There exist several techniques to identify the type of file fragments without …