Handedness Recognition through Keystroke-Typing Behavior in Computer Forensics Analysis

Abstract

Recognizing computer users' handedness provides important clues for profiling computer criminals in digital forensic analysis. Existing technologies for handedness recognition have two main problems that limit their applicability in the scenario of digital crimes: they can be intrusive, and they require costly equipment. Our solution is to infer users… (More)
DOI: 10.1109/TrustCom.2016.0175

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