Twenty years of machine-learning-based text classification: A systematic review

A Palanivinayagam, CZ El-Bayeh, R Damaševičius - Algorithms, 2023 - mdpi.com
Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …

[HTML][HTML] Interpol review of digital evidence for 2019–2022

P Reedy - Forensic Science International: Synergy, 2023 - Elsevier
When compiling the digital evidence review for 2019–2022, the first thought that came to
mind was “we have come so far… we have so far to go”. There has been considerable …

[HTML][HTML] A comprehensive analysis of the role of artificial intelligence and machine learning in modern digital forensics and incident response

D Dunsin, MC Ghanem, K Ouazzane… - Forensic Science …, 2024 - Elsevier
In the dynamic landscape of digital forensics, the integration of Artificial Intelligence (AI) and
Machine Learning (ML) stands as a transformative technology, poised to amplify the …

[HTML][HTML] Virtual reality forensics: Forensic analysis of Meta Quest 2

E Raymer, Á MacDermott, A Akinbi - Forensic Science International: Digital …, 2023 - Elsevier
Abstract The Meta Quest 2 is one of the most popular Virtual Reality (VR) entertainment
headsets to date. The headset, developed by Meta Platforms Inc., immerses the user in a …

Machine learning in digital forensics: a systematic literature review

T Nayerifard, H Amintoosi, AG Bafghi… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

Discovering child sexual abuse material creators' behaviors and preferences on the dark web

VM Ngo, R Gajula, C Thorpe, S Mckeever - Child Abuse & Neglect, 2024 - Elsevier
Background Producing, distributing or discussing child sexual abuse materials (CSAM) is
often committed through the dark web to stay hidden from search engines and to evade …

[HTML][HTML] ForTrace-a holistic forensic data set synthesis framework

T Göbel, S Maltan, J Türr, H Baier, F Mann - Forensic Science International …, 2022 - Elsevier
Digital forensic experts are confronted with a wide variety of investigation objectives, eg, to
deal with an infected IT system. The same holds for digital forensic tools. Mostly different …

Child safety and protection in the online gaming ecosystem

A Faraz, J Mounsef, A Raza, S Willis - Ieee Access, 2022 - ieeexplore.ieee.org
Online gaming no longer has limited access, as it has become available to a high
percentage of children in recent years. Consequently, children are exposed to multifaceted …

Data for Digital Forensics: Why a Discussion on “How Realistic is Synthetic Data” is Dispensable

T Göbel, H Baier, F Breitinger - Digital Threats: Research and Practice, 2023 - dl.acm.org
Digital forensics depends on data sets for various purposes like concept evaluation,
educational training, and tool validation. Researchers have gathered such data sets into …

Investigation, detection and prevention of online child sexual abuse materials: A comprehensive survey

VM Ngo, C Thorpe, CN Dang… - 2022 RIVF International …, 2022 - ieeexplore.ieee.org
Child sexual abuse inflicts lifelong devastating consequences for victims and is an ongoing
social concern. In most countries, child sexual abuse material (CSAM) distribution is illegal …