Smartphones are ubiquitous in modern society; in 2021, the number of active subscriptions
surpassed 6 billion. These devices have become more than a means of communication; …

For reliable digital evidence to be admitted in a court of law, it is important to apply
scientifically proven digital forensic investigation techniques to corroborate a suspected …

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 …

Mobile forensics is crucial in reconstructing various everyday activities accomplished
through mobile applications during an investigation. Manual analysis can be tedious, time …

The advancement of technology and its developments have provided the forensic sciences
with many cutting-edge tools, devices, and applications, allowing forensics a better and …

Machine learning algorithms, such as KNN, SVM, MLP, RF, and MLR, are used to extract
valuable information from shared digital data on social media platforms through their APIs in …

The dangers of contamination have received considerable attention in the literature
regarding the investigation of physical crime scenes and physical evidence. The …

Volatility and investor sentiment have been factors for the slow adoption rate of Bitcoin (BTC)
that was first recognized in 2008 as a potential store of value, investment vehicle and a …

Background Recent research argues for a formalized hybrid risk assessment model that
combines the current online child sex abuse risk measures with digital forensics artifacts …

This paper introduces the Encrochat operation as an example of the technological, cross-
border, and cross-disciplinary complexity of one contemporary digital investigation. The use …