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SEQUENCE:1
X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC
UID:242216
DTSTAMP:20260908T100325Z
DTSTART;TZID=America/New_York:20260915T110000
DTEND;TZID=America/New_York:20260915T120000
URL;TYPE=URI:https://www.wpi.edu/news/calendar/events/ms-thesis-presentatio
 n-haowen-xu-electromagnetic-side-channel-analysis-privacy-leakage-smartwat
 ches
SUMMARY:MS Thesis Presentation: Haowen Xu, "Electromagnetic Side-Channel An
 alysis for Privacy Leakage in Smartwatches"
DESCRIPTION:Haowen Xu\nPhD Student\nWPI – Computer Science Department\nTues
 day, September 15, 2026\nTime: 11:00 AM – 12:00 PM\nLocation: UH 247 – Tec
 h Suite\nZoom Link:https://wpi.zoom.us/j/98938575458\nCommittee members : 
 Xiaoyan (Sherry) Sun, Jun Dai\nAbstract:\nAs smartwatches become increasin
 gly integrated into daily life, their electromagnetic (EM) emissions intro
 duce a significant yet overlooked privacy risk. This study systematically 
 examines how EM leakage from smartwatches can be exploited to infer user i
 nteractions and behavioral patterns.\nWe propose MagWatch, a novel non-int
 rusive attack that applies wavelet transform for signal processing and lev
 erages a CNN-LSTM model to identify applications and in-app activities, ac
 hieving up to 90\% accuracy across multiple smartwatch models.\nOur findin
 gs reveal a critical security vulnerability, demonstrating that attackers 
 can passively monitor EM emissions to reconstruct user interactions, expos
 ing sensitive information such as communication habits and app usage patte
 rns. This research highlights the urgent need for privacy-preserving count
 ermeasures in wearable technology and establishes a foundation for future 
 studies on EM side-channel security risks.\n
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