Unless we get legislation passed that bans this use in public and private spaces prepare for this to be combined with Flock et al to track your movements inside your house (already is being tested by some internet providers), track the moment you exit your house, track you along your route, track you inside all the business you visit.
Unless we do something, this will be used to covertly break the fourth amendment.
> "By observing the propagation of radio waves, we can create an image of the surroundings and of persons who are present,"
Notice that it doesn't matter if you are using Wifi. If you're in a city, I doubt there are many places that lack Wifi radio waves.
Thank you to the researchers (seriously) for revealing this to the public rather than selling it to the highest bidder. Though I suspect that, given how obvious it is once you think about it - all these radio waves solve many problems of passive imaging - it's already known to some people.
> These signals, known as beamforming feedback information (BFI), are transmitted without encryption, meaning that anyone within range can potentially read them.
> By analyzing that information, the system can generate images of people from multiple viewpoints. Those images can then be used to determine a person's identity.
This is the extent of the description of the magic sauce. Why are those images so unique that you can’t trick the algorithm? I can’t think of any EM based identification that can’t be tricked by adding layers of reflectors or absorbers in various points - a mask, special paint, etc.
Unless we get legislation passed that bans this use in public and private spaces prepare for this to be combined with Flock et al to track your movements inside your house (already is being tested by some internet providers), track the moment you exit your house, track you along your route, track you inside all the business you visit.
Unless we do something, this will be used to covertly break the fourth amendment.
This would be extremely difficult to detect and enforce.
Paper: https://publikationen.bibliothek.kit.edu/1000185756/16810098...
[delayed]
How do I wire this to Home Assistant?
For those seeking the source:
> The researchers presented their results at the "ACM Conference on Computer and Communications Security" (CCS) in Taipei.
This citation at the bottom might be the paper:
Julian Todt, Felix Morsbach, Thorsten Strufe. BFId: Identity Inference Attacks Utilizing Beamforming Feedback Information. , DOI: 10.1145/3719027.3765062
Looks like it's open access:
https://dl.acm.org/doi/pdf/10.1145/3719027.3765062
> "By observing the propagation of radio waves, we can create an image of the surroundings and of persons who are present,"
Notice that it doesn't matter if you are using Wifi. If you're in a city, I doubt there are many places that lack Wifi radio waves.
Thank you to the researchers (seriously) for revealing this to the public rather than selling it to the highest bidder. Though I suspect that, given how obvious it is once you think about it - all these radio waves solve many problems of passive imaging - it's already known to some people.
> These signals, known as beamforming feedback information (BFI), are transmitted without encryption, meaning that anyone within range can potentially read them.
> By analyzing that information, the system can generate images of people from multiple viewpoints. Those images can then be used to determine a person's identity.
This is the extent of the description of the magic sauce. Why are those images so unique that you can’t trick the algorithm? I can’t think of any EM based identification that can’t be tricked by adding layers of reflectors or absorbers in various points - a mask, special paint, etc.
Are there any projects or products today available for monitoring heart rate and respiration without needing a smart watch using this technology?
No