Encrypted network traffic from smartphones reveals distinct longitudinal behavioral patterns for sleep, stress, and loneliness through transformer representations and sparse autoencoders that capture within-person changes better than standard features.
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Systematic review of 80 papers shows TTP extraction shifting to transformer and LLM methods but limited by narrow datasets, single-label focus, and low reproducibility.
Social media data functions as passive geospatial sensing for public opinion and behavior via a structured workflow and case studies on topics like COVID-19 vaccines and urban accessibility.
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From Packets to Patterns: Interpreting Encrypted Network Traffic as Longitudinal Behavioral Signals
Encrypted network traffic from smartphones reveals distinct longitudinal behavioral patterns for sleep, stress, and loneliness through transformer representations and sparse autoencoders that capture within-person changes better than standard features.
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What Are Adversaries Doing? Automating Tactics, Techniques, and Procedures Extraction: A Systematic Review
Systematic review of 80 papers shows TTP extraction shifting to transformer and LLM methods but limited by narrow datasets, single-label focus, and low reproducibility.
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A Guide to Using Social Media as a Geospatial Lens for Studying Public Opinion and Behavior
Social media data functions as passive geospatial sensing for public opinion and behavior via a structured workflow and case studies on topics like COVID-19 vaccines and urban accessibility.