Advanced digital forensics and anti-digital forensics for IoT systems: Techniques, limitations and recommendations

JPA Yaacoub, HN Noura, O Salman, A Chehab - Internet of Things, 2022 - Elsevier
Recently, the number of cyber attacks against IoT domains has increased tremendously.
This resulted into both human and financial losses at all IoT levels especially individual and …

A review of mobile forensic investigation process models

A Al-Dhaqm, S Abd Razak, RA Ikuesan… - IEEE …, 2020 - ieeexplore.ieee.org
Mobile Forensics (MF) field uses prescribed scientific approaches with a focus on recovering
Potential Digital Evidence (PDE) from mobile devices leveraging forensic techniques …

SoK: Exploring the state of the art and the future potential of artificial intelligence in digital forensic investigation

X Du, C Hargreaves, J Sheppard, F Anda… - Proceedings of the 15th …, 2020 - dl.acm.org
Multi-year digital forensic backlogs have become commonplace in law enforcement
agencies throughout the globe. Digital forensic investigators are overloaded with the volume …

Current and future trends in mobile device forensics: A survey

K Barmpatsalou, T Cruz, E Monteiro… - ACM Computing Surveys …, 2018 - dl.acm.org
Contemporary mobile devices are the result of an evolution process, during which
computational and networking capabilities have been continuously pushed to keep pace …

The role of machine learning in digital forensics

AM Qadir, A Varol - … on Digital Forensics and Security (ISDFS), 2020 - ieeexplore.ieee.org
Digital forensics, as a branch of the forensic sciences, is facing new challenges from the
aspect that potential digital evidence is growing and expanding. Rapid development in the …

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 …

Digital forensics vs. Anti-digital forensics: Techniques, limitations and recommendations

JPA Yaacoub, HN Noura, O Salman… - arXiv preprint arXiv …, 2021 - arxiv.org
The number of cyber attacks has increased tremendously in the last few years. This resulted
into both human and financial losses at the individual and organization levels. Recently …

Applications of machine learning in digital forensics

S Qadir, B Noor - 2021 International Conference on Digital …, 2021 - ieeexplore.ieee.org
Digital forensics (DF) has become a substantial process to perform in depth investigations.
But due to the digitalization, the potential Data volumes are increasing and hence it has …

A Machine Learning-based Triage methodology for automated categorization of digital media

F Marturana, S Tacconi - Digital Investigation, 2013 - Elsevier
The global diffusion of smartphones and tablets, exceeding traditional desktops and laptops
market share, presents investigative opportunities and poses serious challenges to law …

A metamodel for mobile forensics investigation domain

A Ali, S Abd Razak, SH Othman, A Mohammed… - PloS one, 2017 - journals.plos.org
With the rapid development of technology, mobile phones have become an essential tool in
terms of crime fighting and criminal investigation. However, many mobile forensics …