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From Packets to Patterns: Interpreting Encrypted Network Traffic as Longitudinal Behavioral Signals
Human behavior is difficult to observe continuously at scale, yet it leaves measurable traces in everyday device use. We test whether encrypted smartphone network traffic---a ubiquitous, always-on, passive sensing modality---can passively capture behavioral patterns related to sleep, stress, and lon
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