A framework for understanding artificial intelligence research: insights from practice
Purpose The current evolution of artificial intelligence (AI) practices and applications is
creating a disconnection between modern-day information system (IS) research and …
creating a disconnection between modern-day information system (IS) research and …
Digital evidence strategies for digital forensic science examinations
G Horsman - Science & Justice, 2023 - Elsevier
Given the size and complexity of many digital forensic science device examinations, there is
a need for practitioners to formally and strategically determine a course of conduct which …
a need for practitioners to formally and strategically determine a course of conduct which …
[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 …
smart ecosystems, and the quintessential need of process automation has not only opened …
Artificial intelligence applications in management information systems: a comprehensive systematic review with business analytics perspective
Hİ Çelebi - Artificial Intelligence Theory and Applications, 2021 - dergipark.org.tr
The need to solve very complex problems and the desire to model and understand human
behavior are the most important factors that trigger artificial intelligence studies. In addition …
behavior are the most important factors that trigger artificial intelligence studies. In addition …
Data-driven decision support for optimizing cyber forensic investigations
Cyber attacks consisting of several attack actions can present considerable challenge to
forensic investigations. Consider the case where a cybersecurity breach is suspected …
forensic investigations. Consider the case where a cybersecurity breach is suspected …
Dataset construction challenges for digital forensics
G Horsman, JR Lyle - Forensic Science International: Digital Investigation, 2021 - Elsevier
As the digital forensic field develops, taking steps towards ensuring a level of reliability in the
processes implemented by its practitioners, emphasis on the need for effective testing has …
processes implemented by its practitioners, emphasis on the need for effective testing has …
[HTML][HTML] Part 2: The Phase-oriented Advice and Review Structure (PARS) for digital forensic investigations
This work forms the second part of a two part series providing the necessary scaffolding for
the digital forensic discipline to conduct effective peer review in their laboratories and units …
the digital forensic discipline to conduct effective peer review in their laboratories and units …
Learning for success: understanding crowdfunding relaunch performance after initial failures
Purpose Fierce competition in the crowdfunding market has resulted in high failure rates.
Owing to their dedication and efforts, many founders have relaunched failed campaigns as a …
Owing to their dedication and efforts, many founders have relaunched failed campaigns as a …
Game-theoretic decision support for cyber forensic investigations
The use of anti-forensic techniques is a very common practice that stealthy adversaries may
deploy to minimise their traces and make the investigation of an incident harder by evading …
deploy to minimise their traces and make the investigation of an incident harder by evading …
“I couldn't find it your honour, it mustn't be there!”–Tool errors, tool limitations and user error in digital forensics
G Horsman - Science & Justice, 2018 - Elsevier
The field of digital forensics maintains significant reliance on the software it uses to acquire
and investigate forms of digital evidence. Without these tools, analysis of digital devices …
and investigate forms of digital evidence. Without these tools, analysis of digital devices …