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-demonstrate-stingray-detection-kit/