A major challenge to digital forensic analysis is the ongoing growth in the volume of data
seized and presented for analysis. This is a result of the continuing development of storage …

Artificial intelligence (AI; broadly defined to include Machine Learning and Deep Learning)
and automation are two current and reciprocal computing disciplines. As such, AI‐powered …

Today's Golden Age of computer forensics is quickly coming to an end. Without a clear
strategy for enabling research efforts that build upon one another, forensic research will fall …

Digital forensics is a vital part of almost every criminal investigation given the amount of
information available and the opportunities offered by electronic data to investigate and …

Operational Technology (OT) systems have become increasingly interconnected and
automated, consequently resulting in them becoming targets of cyber attacks, with the threat …

Since its inception, over a decade ago, the field of digital forensics has faced numerous
challenges. Despite different researchers and digital forensic practitioners having studied …

Industrial control system communication networks are vulnerable to reconnaissance,
response injection, command injection, and denial of service attacks. Such attacks can lead …

The number of successful cyber attacks continues to increase, threatening financial and
personal security worldwide. Cyber/digital forensics is undergoing a paradigm shift in which …

Cybersecurity deals with various types of cybercrimes, but it is essential to identify the
similarities in existing cybercrimes using data mining and machine learning technologies …

Cyber forensics has encountered major obstacles over the last decade and is at a
crossroads. This paper presents data that was obtained during the National Workshop on …