Re:Facebook Knows How to Track You Using the Dust on Your Ca...
by analog31 on Saturday January 05, 2019 @10:10PM
(#18836308)
The image that's gathered when the camera is completely in the dark, is a unique fingerprint of the camera chip. This is something called "fixed pattern noise."
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Re:Facebook Knows How to Track You Using the Dust on Your Ca...
by angry_octet on Saturday January 05, 2019 @11:09PM
(#18836515)
You learn some great things on HN!
2006: https://www.researchgate.net/publication/3455253_Digital_Cam...
Notes (by El Gamal of FPGA fame, not cryptography fame): http://isl.stanford.edu/~abbas/ee392b/lect07.pdf
Forensics: https://www.mobiledit.com/camera-ballistics
Anti-forensics (counter-measures/imitation): https://arxiv.org/abs/1707.07795v1 https://www.researchgate.net/publication/305181626_Removing_...
Re:Facebook Knows How to Track You Using the Dust on Your Ca...
by Laforet on Saturday January 05, 2019 @10:28PM
(#18836376)
In that case just put on a few more layers. Shot noise is fairly random.
Re:Facebook Knows How to Track You Using the Dust on Your Ca...
by analog31 on Saturday January 05, 2019 @10:42PM
(#18836427)
True. But if you share enough images from the same chip, eventually the fixed pattern noise can be computed to a decent enough accuracy to use it as a fingerprint. Now, you could measure the fixed pattern noise and subtract it from subsequent images. This is a widespread practice in scientific imaging. I'm not devious enough to think of how this could be defeated by someone who really wants to use your camera chip as a fingerprint, but it might be enough to defeat an amateur.
Re:Facebook Knows How to Track You Using the Dust on Your Ca...
by angry_octet on Saturday January 05, 2019 @11:25PM
(#18836561)
Dark-Signal Non Uniformity (DSNU):
https://harvestimaging.com/blog/?p=814
So likely to provide a few bits of entropy.