WiFi could become an invisible mass surveillance system
11–20 of 199 posts
Re: WiFi could become an invisible mass surveillance system
#12“Could become” Already is and widely used for exactly what the article worries about
Re: WiFi could become an invisible mass surveillance system
#13> The method takes advantage of normal network communication between connected devices and the router. These devices regularly send feedback signals within the network, known as beamforming feedback information (BFI), which are transmitted without encryption and can be read by anyone within range. > By collecting this data, images of people can be generated from multiple perspectives, allowing individuals to be ident…
Gait analysis is complete fiction. Especially with a non-visual approach like this.
Re: WiFi could become an invisible mass surveillance system
#14> The method takes advantage of normal network communication between connected devices and the router. These devices regularly send feedback signals within the network, known as beamforming feedback information (BFI), which are transmitted without encryption and can be read by anyone within range. > By collecting this data, images of people can be generated from multiple perspectives, allowing individuals to be ident…
Re: WiFi could become an invisible mass surveillance system
#15> The method takes advantage of normal network communication between connected devices and the router. These devices regularly send feedback signals within the network, known as beamforming feedback information (BFI), which are transmitted without encryption and can be read by anyone within range. > By collecting this data, images of people can be generated from multiple perspectives, allowing individuals to be ident…
> The results for CSI can also be found in Figure 3. We find that we can identify individuals based on their normal walking style using CSI with high accuracy, here 82.4% ± 0.62.
If you're a person of interest you could be monitored, your walking pattern internalized in the model then followed through buildings. That's my intuition at practical applications, and the level of detail.
Re: WiFi could become an invisible mass surveillance system
#16> The method takes advantage of normal network communication between connected devices and the router. These devices regularly send feedback signals within the network, known as beamforming feedback information (BFI), which are transmitted without encryption and can be read by anyone within range. > By collecting this data, images of people can be generated from multiple perspectives, allowing individuals to be ident…
If you want to do advanced sensing, trying to identify a person, I would postulate you need to saturate a space with high frequency wifi traffic, ideally placed mesh points, and let the algo train on identifying people first by a certain signature (combination of size/weight, movement/gait, breath / chest movements).
Source: I worked on such technologies while at Signify (variants of this power Philips/Wiz "SpaceSense" feature).
More here: https://www.theverge.com/2022/9/16/23355255/signify-wiz-spac...
Re: WiFi could become an invisible mass surveillance system
#17That a super impressive! I wonder how that would be at scale, with a few millions people. I’m don’t think that would remain as accurate
Re: WiFi could become an invisible mass surveillance system
#18Paper: https://dl.acm.org/doi/epdf/10.1145/3719027.3765062
The paper says, in a somewhat contrived scenario, with dozens of labelled walkthroughs per person, they can identify that person from their gait based on CSI and other WiFi information.
This is a long way from identifying one person in thousands or tens of thousands, being able to transfer identifying patterns among stations (the inference model is not usable with any other setup), etc.
All the talk of "images" and "perspectives" is journalistic fluffery. 2.4Ghz and 5Ghz wavelengths (12cm & 6cm) are too long to make anything a layperson call an "image" of a person.
What creepy thing could you actually do with this? Well, your neighbor could probably record this information and tell how many and which people are in your home, assuming that there is enough walking to do a gait analysis. They might be able to say with some certainty if someone new comes home.
That same neighbor could hide a camera and photograph your door, or sniff your WiFi and see what devices are active or run an IMSI catcher and surveil the entire neighborhood or join a corporate surveillance outfit like Ring. Using the CSI on your WiFi and a trained ML model is mostly cryptonerd imaginiation.
Re: WiFi could become an invisible mass surveillance system
#19> The method takes advantage of normal network communication between connected devices and the router. These devices regularly send feedback signals within the network, known as beamforming feedback information (BFI), which are transmitted without encryption and can be read by anyone within range. > By collecting this data, images of people can be generated from multiple perspectives, allowing individuals to be ident…
Resolution and positional accuracy are very poor. It’s more like ‘an approximate bag of water detector’. Gait analysis is complete fiction. Especially with a non-visual approach like this.
Re: WiFi could become an invisible mass surveillance system
#20Can we make WiFi 2 that doesn’t let people do this?
I mean you could even jam a microwave oven door open, turn it on, and then measure how much energy loss there was through certain paths. That's essentially all beamforming in Wifi requires -- a really sophisticated way of measuring paths that cause energy loss, and a really sophisticated antenna design that allows you to direct the signal through paths that don't cause energy loss. The first problem is what's facilitating surveillance because humans cause signal loss because our bodies are mostly water, and 2.4 GHz radio waves happen to get absorbed really well by water. This causes measurable signal loss on those paths and the beamforming antennae use that information to route around your body. But they could also just log that information and know where you are relative to the WAP.