activity
20152018
most citedA Forensically Sound Adversary Model for Mobile Devices

74 citations · 164 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2018★ 2 cited

Ubuntu One Investigation: Detecting Evidences on Client Machines

Mohammad Shariati, Ali Dehghantanha1, Ben Martini +1

STorage as a Service (STaaS) cloud services has been adopted by both individuals and businesses as a dominant technology worldwide. Similar to other technologies, this widely accep…

cs.CY2016★ 1 cited

Using Multimedia Presentations to Improve Digital Forensic Understanding: A Pilot Study

Niken Cahyani, Ben Martini, Raymond Choo

Improving employees' understanding of digital forensic technical terms and concepts within an organisation is likely to increase the potential of successful collaboration during a…

cs.CR2015★ 74 cited

A Forensically Sound Adversary Model for Mobile Devices

Quang Do, Ben Martini, Kim-Kwang Raymond Choo

In this paper, we propose an adversary model to facilitate forensic investigations of mobile devices (e.g. Android, iOS and Windows smartphones) that can be readily adapted to the…

cs.CY2015★ 27 cited

Mobile Cloud Forensics: An Analysis of Seven Popular Android Apps

Ben Martini, Quang Do, Kim-Kwang Raymond Choo

Using the evidence collection and analysis methodology for Android devices proposed by Martini, Do and Choo, we examined and analyzed seven popular Android cloud-based apps. Firstl…

cs.CY2015★ 36 cited

Conceptual evidence collection and analysis methodology for Android devices

Ben Martini, Quang Do, Kim-Kwang Raymond Choo

Android devices continue to grow in popularity and capability meaning the need for a forensically sound evidence collection methodology for these devices also increases. This chapt…

cs.CY2015★ 24 cited

Privacy Risks in Mobile Dating Apps

Jody Farnden, Ben Martini, Kim-Kwang Raymond Choo

Dating apps for mobile devices, one popular GeoSocial app category, are growing increasingly popular. These apps encourage the sharing of more personal information than conventiona…