In recent years, attacks against various Internet-of-Things systems, networks, servers,
devices, and applications witnessed a sharp increase, especially with the presence of 35.82 …

The world is becoming more digitized with the rise of modular robotic systems. Therefore,
with the increasing demands and needs for robotics, the modular robotic domain was …

Abstract Federated Learning (FL, or Collaborative Learning (CL)) has surely gained a
reputation for not only building Machine Learning (ML) models that rely on distributed …

The aim of the article was to identify a set of innovative technologies in the field of
investigation of crimes that can be tested in Ukraine. The leading research methods were …

Abstract Software-Defined Networking (SDN) is an evolutionary networking paradigm that
offers simplified and agile network configuration and management capabilities. However …

In cloud forensics, both the provider and consumer can independently collect evidence from
cloud resources. Any inconsistencies between the forensic data supplied by the provider …

Defragmentation can potentially be employed as a tactic by perpetrators to conceal,
misrepresent, or eliminate digital evidence. This study explores the effects of minor …

This research addresses the persistent challenge of defamation, notably prevalent on the
Twitter platform, where the discovery of digital evidence is hampered by robust privacy …

The purpose of the generic qualitative inquiry was to explore how digital forensics
investigators (DFIs) are applying improvised practices and procedures to consistently extract …

Privacy preservation (PP) in Digital forensics (DF) is a conflicted and non-trivial issue.
Existing solutions use the searchable encryption concept and, as a result, are not efficient …