Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …

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

Over the years, there is an increase in the use of Artificial Intelligence (AI) by digital forensics
and cybersecurity professionals to combat cybercrime. Natural Language Processing (NLP) …

File type identification (FTI) has become a major discipline for anti-virus developers, firewall
designers and for forensic cybercrime investigators. Over the past few years, research has …

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 …

In this work we present a primary account of frameup, an incriminatory attack made possible
because of existing implementations in distributed peer to peer storage. The frameup attack …

Network traffic classification, the task of associating network traffic with their generating
application protocols or applications, is valuable for the control, allocation, and management …

File fragment classification is an important step in the task of file carving in digital forensics.
In file carving, files must be reconstructed based on their content as a result of their …

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 …

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 …