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DESCRIPTION:   'Title: Video-based Cryptanalysis: Extracting Secret Keys fr
 om Power\n   LEDs of Various Non-compromised Devices Using a Video Camera\
 n   When: Saturday\, Aug 12\, 12:30 - 13:15 PDT\n   Where: Caesars Forum -
  Forum - 105\,135\,136 - Track 1 - [1]Map\n   Speakers:Ben Nassi\,Ofek Vay
 ner\n\n   SpeakerBio:Ben Nassi \, Postdoctoral Researcher at Cornell Tech\
 n   Dr. Ben Nassi is a postdoctoral researcher at Cornell Tech. He is\n   
 interested in building robust systems and investigates the security\n   an
 d privacy of cyber-physical systems and hardware/devices in the\n   topics
  of side-channel attacks and AI security using signal processing\n   and m
 achine learning techniques. His research has been presented at\n   top aca
 demic conferences\, published in journals and Magazines\, and\n   covered 
 by international media. Ben has spoken at prestigious\n   industrial confe
 rences (Black Hat Asia and USA\, RSAC USA\, AI Week\,\n   CodeBlue\, SecTo
 r\, and CyberTech) and he serves as a PC member in ACM\n   CCS (22 and 23)
  and BlackHat Asia (22 and 23). His research entitled\n   him to two nomin
 ations for the Pwnie Award.\n   Twitter: [2]@ben_nassi\n\n   SpeakerBio:Of
 ek Vayner \, M.Sc. Student at Ben-Gurion University of the\n   Negev\n   O
 fek Vayner is an M.Sc student at Ben-Gurion University of the Negev\n   an
 d a security researcher at BGU's Cyber Security Research Center. He\n   ho
 lds a B.Sc. degree from the Department of Electrical Engineering at\n   Be
 n-Gurion University of the Negev. His primary research interests are\n   s
 ide-channel attacks and cryptanalysis.\n\n   Description:\n   In this talk
 \, we present video-based cryptanalysis\, a new method to\n   recover secr
 et keys from a non-compromised device by analyzing video\n   footage obtai
 ned from a device’s power LED. We show that\n   cryptographic computatio
 ns performed by the device’s CPU change the\n   power consumption of the
  device which affects the brightness/color of\n   the device’s power LED
 . The changes in the brightness can be\n   detected at a sufficient sampli
 ng rate for cryptanalysis by obtaining\n   video footage from a device’s
  power LED (by filling the frame with\n   the LED) and exploiting the vide
 o camera’s rolling shutter\, to\n   increase the sampling rate by three 
 orders of magnitude. The frames of\n   the video footage are analyzed in t
 he RGB space\, and the RGB values\n   are used to recover the secret key. 
 We demonstrate the recovery of:\n   (1) a 256- bit ECDSA key from a smartc
 ard using video footage obtained\n   from the power LED of the smartcard r
 eader via a hijacked\n   Internet-connected security camera located 16 met
 ers away from the\n   smartcard reader\, and (2) a 378-bit SIKE key from a
  Samsung Galaxy S8\n   using video footage obtained from the power LED of 
 Logitech Z120 USB\n   speakers (that were connected to the same USB Hub of
  the Galaxy S8)\n   via iPhone 12.\n\n   We discuss countermeasures\, limi
 tations\, and the future of video-based\n   cryptanalysis.\n\n   '\n\n   1
 . #CaesarsForumBR\n   2. https://twitter.com/ben_nassi\n\n\n
DTEND:20230812T201500Z
DTSTART:20230812T193000Z
LOCATION:DC - Caesars Forum - Forum - 105\,135\,136 - Track 1
SUMMARY:Video-based Cryptanalysis: Extracting Secret Keys from Power LEDs o
 f Various Non-compromised Devices Using a Video Camera
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