A Platform Independent Investigative Process Model for Smartphones

A properly conducted forensic examination is one of the most fundamental aspects of a digital investigation. Examiners are obligated to obtain the skills necessary to use forensic tools and methodologies and rely on sound judgment when analyzing a digital device. Anytime during this process, the quality of the methods, skills, and expertise of the examiner may be challenged, thus, placing the forensic value of the evidence collected during the process in jeopardy. In order to combat the potential challenges posed as a result of the forensic examination process, the digital forensics community must ensure that suitable protocols are used throughout the analysis process. Currently, there is no standard methodology forensic examiners use to analyze a digital device. Examiners have made use of a model derived from the Digital Forensic Research Workshop in 2001 and the application of ad-hoc techniques has become routine. While these approaches may reveal potential data of evidentiary value when applying them to digital devices, their core purpose specifically involves the analysis of computers. It is not clear how effective these methods have been when examining other digital technologies, in particular Small Scale Digital Devices (SSDDs). Due to these mitigating factors, it is critical to develop standard scientifically sound methodologies in the area of digital forensics that allow us to evaluate various digital technologies while considering their distinctive characteristics. This research addresses these issues by introducing the concept of an extendable forensic process model applicable to smartphones regardless of platform. The model has been developed using the property of invariance to construct a core components list which serves as the foundation of the proposed methodology. This dissertation provides a description of the forensic process, the models currently used, the developed model, and experiments to show its usefulness

Proceedings of the Second International Mobile Satellite Conference (IMSC 1990)

Presented here are the proceedings of the Second International Mobile Satellite Conference (IMSC), held June 17-20, 1990 in Ottawa, Canada. Topics covered include future mobile satellite communications concepts, aeronautical applications, modulation and coding, propagation and experimental systems, mobile terminal equipment, network architecture and control, regulatory and policy considerations, vehicle antennas, and speech compression

Latent variable modelling of population neuroimaging and behavioural data

Neuroimaging has aroused much interest in recent years due to the growth of Magnetic Resonance Imaging (MRI) technology and data acquisition techniques. This has led to an increase in interest for work that links neuroscience to behavioural research using neuroimaging data to reveal the interplay between brain and behaviours. Latent variable models are popular tools to investigate such relationships, with many studies exploring links between functional MRI and various behavioural and demographic measures. However, a common challenge is the interpretability of the latent variable models, in particular, their applications to large datasets with thousands of variables. In this thesis, we first introduced the basic concepts in neuroimaging and the challenges faced when linking it to behaviours. Then, we introduced the background methods applied in the thesis including latent variable models, predictive models and some widely applied data processing techniques. The discussion focused on clarifying easily confused and misused concepts, the theory and application of some rare model extensions, and the demonstration of crossvalidation in chained latent variable models. Many of these notes, to our knowledge, have not been discussed elsewhere. One of the main focuses and contributions of this thesis is the proposal of a dimension reduction method, namely Supervised Dimension Reduction. It aims to improve the interpretation of latent variable models, especially in the application of chaining multiple models together. We applied Supervised Dimension Reduction together with other latent variable models to the Human Connectome Project and the UK Biobank project to study the relationships between neuroimaging and behavioural data. We revealed many interesting patterns between brain and behaviours. Moreover, we further clarified the interpretation of a commonly applied latent variable model, Canonical Correlation Analysis. In particular, the multi-view extension and their applications in brain-behaviour study. In the end, we attempted to use functional MRI to predict a specific behavioural measure: personality. However, no results turned out to be significant under the analysis pipeline we applied

Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2013 Annual Conference:Human Factors: sustainable life and mobility

On the occasion of the 2013 Meeting in Torino, Ital

Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2013 Annual Conference:Human Factors: sustainable life and mobility

On the occasion of the 2013 Meeting in Torino, Ital