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TZID:Europe/Luxembourg
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DTSTART:20251021T000000
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DTSTART:20251026T030000
RDATE:20261025T030000
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DTSTART:20260329T030000
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SUMMARY:Automating the Reverse Engineering of CAN Bus Protocols with Physi
 cs-driven Traffic Analysis - Eric Wagner\, Matteo Frigo
DTSTART;TZID=Europe/Luxembourg:20261021T154500
DTEND;TZID=Europe/Luxembourg:20261021T161500
DTSTAMP:20261009T054100Z
UID:pretalx-hack-lu-2026-DLUE7G@pretalx.com
DESCRIPTION:Most automotive security research still relies on manual or se
 mi-automated processes to reverse-engineer CAN bus protocols and reveal ho
 w vehicle data such as speed\, acceleration\, or throttle position is enco
 ded. We present a novel\, fully automated approach that instantly identifi
 es the bits corresponding to physical vehicle features\, even on previousl
 y unseen models\, by analyzing physics-based relationships reflected in ra
 w CAN traffic. Our method accelerates reverse engineering from hours or da
 ys to mere minutes. We explore the impact of such fully-automated passive 
 reverse engineering not only for vehicles but also for other CPS/OT enviro
 nements.
LOCATION:Europe
URL:https://pretalx.com/hack-lu-2026/talk/DLUE7G/
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