Toward a new mobile cloud forensic framework
Muhammad Faheem, M-Tahar Kechadi, Nhien-An Le-Khac

TL;DR
This paper proposes a new forensic framework for mobile cloud environments, enabling investigators to collect synchronized data from mobile devices and cloud servers to support cybercrime investigations involving social networks.
Contribution
It introduces a novel mobile cloud forensic framework that automates data collection from both mobile devices and cloud servers, addressing current forensic challenges.
Findings
Framework allows automated data synchronization
Preliminary results demonstrate feasibility
Enhances evidence collection in mobile cloud crimes
Abstract
Smartphones have created a significant impact on the day to day activities of every individual. Now a days a wide range of Smartphone applications are available and it necessitates high computing resources in order to build these applications. Cloud computing offers enormous resources and extends services to resource-constrained mobile devices. Mobile Cloud Computing is emerging as a key technology to utilize virtually unlimited resources over the Internet using Smartphones. Offloading data and computations to improve productivity, enhance performance, save energy, and improve user experience. Social network applications largely utilize Mobile Cloud Computing to reap the benefits. The social network has witnessed unprecedented growth in the recent years, and millions of registered users access it using Smartphones. The mobile cloud social network applications introduce not only…
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Taxonomy
TopicsDigital and Cyber Forensics · Advanced Malware Detection Techniques · Privacy-Preserving Technologies in Data
