Identifying User Behavior From Residual Data in Cloud-Based Synchronized Apps

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Provided by: University of South Africa
Topic: Cloud
Format: PDF
As the distinction between personal and organizational device usage continues to blur, the combination of applications that interact increases the need to investigate potential security issues. Although security and forensic researchers have been able to recover a variety of artifacts, empirical research has not examined a suite of application artifacts from the perspective of high-level pattern identification. This paper presents a preliminary investigation into the idea that residual artifacts generated by cloud-based synchronized applications can be used to identify broad user behavior patterns.
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