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 …

Digital forensics is the process of identifying, preserving, analyzing, and documenting digital
evidence for investigation purposes. Building or using file analysis tools is of great interest …

Artificial Intelligence (AI) is being applied to improve the efficiency of software systems used
in various domains, especially in the health and forensic sciences. Explainable AI (XAI) is …

Several fields of digital forensics (ie file carving, memory forensics, network forensics)
require the reliable data type classification of digital fragments. Up to now, a multitude of …

In cyber forensics, one of the main challenges of file fragment classification is the
proliferation of file formats. This leads to a multinomial classification problem that aggravates …

Botnets, or a network of compromised machines, are considered one of the biggest threats
to the security and privacy on users of networked systems. These structures offer …

Digital forensic laboratories are failing to cope with the volume of digital evidence required
to be analysed. The ever increasing capacity of digital storage devices only serves to …

Planning and operating a digital repository is a laborious and complex project. Especially
the estimation of system resources (storage space and processing power) is difficult. The …

En los últimos años se han realizado incontables trabajos en el área de aprendizaje
automático, llámense redes neuronales, aprendizaje máquina o aprendizaje profundo …