IMSI catcher detection and mapping (via crowdsourcing)
Some U-Washington researchers are working on a potentially very interesting project of using sensors and statistical analysis to identify where cell site simulators are being used, which could scale to city or larger size, providing a snapshot as well as ongoing dataset to ascertain patterns. One would need spatial and temporal density to maximize probability of capture given the ephemeral nature of deployed cell simulators. https://seaglass.cs.washington.edu/ https://seaglass-web.s3.amazonaws.com/SeaGlass___PETS_2017.pdf https://github.com/seaglass-project/seaglass
On Jun 3, 2017, at 3:31 PM, M373 <M373@riseup.net> wrote:
Some U-Washington researchers are working on a potentially very interesting project of using sensors and statistical analysis to identify where cell site simulators are being used, which could scale to city or larger size, providing a snapshot as well as ongoing dataset to ascertain patterns. One would need spatial and temporal density to maximize probability of capture given the ephemeral nature of deployed cell simulators.
https://seaglass.cs.washington.edu/ https://seaglass-web.s3.amazonaws.com/SeaGlass___PETS_2017.pdf https://github.com/seaglass-project/seaglass
All this talk really makes me want to get back to playing with OpenBTS, you can make your own stingray-lite for probably a few hundred bucks.... but then, unless you have a specific and probably very criminal need for it, I'm not sure it would ever be more than a toy. On a per-phone level there are or were some interesting apps to detect cell site simulators, e.g. https://github.com/CellularPrivacy/Android-IMSI-Catcher-Detector The seaglass stuff does look really interesting. There's an article that just popped up about it a couple days ago - https://techcrunch.com/2017/06/02/who-catches-the-imsi-catchers-researchers-...
participants (2)
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John Newman
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M373