The impact of automation and artificial intelligence on digital forensics

A Jarrett, KKR Choo - Wiley Interdisciplinary Reviews: Forensic …, 2021 - Wiley Online Library
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 …

Research challenges and opportunities in drone forensics models

A Al-Dhaqm, RA Ikuesan, VR Kebande, S Razak… - Electronics, 2021 - mdpi.com
The emergence of unmanned aerial vehicles (also referred to as drones) has transformed
the digital landscape of surveillance and supply chain logistics, especially in terrains where …

[HTML][HTML] Industrial internet of things (IIoT) forensics: The forgotten concept in the race towards industry 4.0

VR Kebande - Forensic Science International: Reports, 2022 - Elsevier
Abstract Advances in Industrial Internet of Things (IIoT), inter-connectivity, continuous rise of
smart ecosystems, and the quintessential need of process automation has not only opened …

Common investigation process model for Internet of Things forensics

MA Saleh, SH Othman, A Al-Dhaqm… - … on Smart Computing …, 2021 - ieeexplore.ieee.org
Internet of Things Forensics (IoTFs) is a new discipline in digital forensics science used in
the detection, acquisition, preservation, rebuilding, analyzing, and the presentation of …

Industrial Internet of Things Ecosystems Security and Digital Forensics: Achievements, Open Challenges, and Future Directions

VR Kebande, AI Awad - ACM Computing Surveys, 2024 - dl.acm.org
The Industrial Internet of Things (IIoT) has been positioned as a key pillar of the Industry 4.0
revolution, which is projected to continue accelerating and realizing digital transformations …

A survey on industrial control system digital forensics: challenges, advances and future directions

M Cook, A Marnerides, C Johnson… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Operational Technology (OT) systems have become increasingly interconnected and
automated, consequently resulting in them becoming targets of cyber attacks, with the threat …

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 …

A novel security framework to mitigate and avoid unexpected security threats in saudi arabia

A Alshammari - Engineering, Technology & Applied Science Research, 2023 - etasr.com
Many organizations around the world suffer large losses due to unexpected risks which can
have a profound impact on their survival. This paper presents a novel security framework to …

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 …

IoT forensics: A review on current trends, approaches and foreseen challenges

G Surange, P Khatri - 2021 8th International Conference on …, 2021 - ieeexplore.ieee.org
IoT has become inevitable in current scenario of due to idea of smart living. Every aspect of
human civilization is being converged to IoT systems, may it be smart homes, personal …