Understanding How Users Prepare for and React to Smartphone Theft

Subscribers:
351,000
Published on ● Video Link: https://www.youtube.com/watch?v=6fO5YcsMfRE



Duration: 0:00
186 views
3


Smartphone theft is common, yet little research explores how users prepare for or respond to such incidents. To address this gap in the literature, we conducted 20 semi-structured interviews with victims who had experienced smartphone theft in the past two years. These cases ranged from opportunistic thefts to armed robberies. Our findings show that users are often unprepared and rely on basic protection measures like screen locks. After theft, they attempt to track their phones, activate Lost Mode and frequently turn to family and friends for moral support. Many experience significant distress, particularly from privacy concerns, loss of photos, and disrupted access to essential services like online banking. Recovery is often complicated by challenges such as SMS-based two-factor authentication (2FA). Our study identifies opportunities for phone vendors and service providers to enhance security features and recovery tools that address both technical and social aspects of smartphone theft.

Speaker: Divyanshu Bhardwaj (CISPA Helmholtz Center for Information Security)




Other Videos By Microsoft Research


2025-09-24Understanding How Users Prepare for and React to Smartphone Theft
2025-09-24When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs
2025-09-24A Formal Analysis of Apple’s iMessage PQ3 Protocol
2025-09-24Email Spoofing with SMTP Smuggling: How the Shared Email Infrastructures Magnify this Vulnerability
2025-09-24A Framework for Abusability Analysis: The Case of Passkeys in Interpersonal Threat Models
2025-09-24‘Hey mum, I dropped my phone down the toilet’: Investigating Hi Mum and Dad SMS Scams in the UK
2025-09-24Dehumanizing machines: Making sense of AI systems that seem human
2025-09-24Scalable emulation of protein equilibrium ensembles with BioEmu
2025-09-24Disrupting the AI infrastructure with MicroLEDs
2025-09-24Dion: The distributed orthonormal update revolution is here
2025-09-24Pushing boundaries of complex reasoning in small language models
2025-09-22zk-promises: Anonymous Moderation, Reputation, & Blocking from Anonymous Credentials with Callbacks
2025-09-22More is Less: Extra Features in Contactless Payments Break Security
2025-09-18Sub-Population Identification of Multi-morbidity in Sub-Saharan African Populations
2025-09-03Echoes in GenAI generations
2025-08-27Six Years of Rowhammer: Breakthroughs and Future Directions
2025-08-25Sub-Population Identification of Multi-morbidity in Sub-Saharan African Populations
2025-08-19MindJourney: Test-Time Scaling with World Models for Spatial Reasoning
2025-08-11Medical Bayesian Kiosk (2010)
2025-08-07Reimagining healthcare delivery and public health with AI
2025-08-05VeriTrail: Detect hallucination and trace provenance in AI workflows