5 ms·

that's not quite the same thing, as it doesn't provide "name and adress", no?

dredmorbius 4y ago
Considerably more than for those with access. Again: once an identifier is available, correlating it with other information is trivial.
- ILMostro7 4y ago
  Thanks for your input. I'm sincerely asking out of ignorance and curiosity around these things.
  - dredmorbius 4y ago
    A fairly classical example of readily de-anonimisable data is location, at postal-code resolution. With nothing more than two postal codes (ZIP codes in the US), representing home and work, it's possible to individually identify about 90% of the population. That information is available via, say, geocoded location using mobile phone or tracking cookie data.[1] In the case of device or vehicle tracking such as with drones, it's highly likely that a given device would be used within a particular jurisdiction or activity region. If you can pinpoint specific locations and times within those (e.g., police activity around an address + drone activity, activity following specific infrastructure such as power lines or gas distribution, training locations, etc., etc.) you can probably come up with a strong idea of who operates or owns the equipment. That is more-or-less the process that was used to identify CIA-operated aircraft used in renditions for "enhanced interrogation" (torture) by amateur plane watchers. See: https://en.wikipedia.org/wiki/Rendition_aircraft https://en.wikipedia.org/wiki/Rendition_aircraft https://web.archive.org/web/20130616175922/http://www.commondreams.org/headlines05/0320-04.htm https://web.archive.org/web/20130616175922/http://www.common... ________________________________ Notes: 1. The home+work ZIP anecdote is the one I recall. I'm not finding that specifically though this paper mentions four spatio-temporal locations sufficing for 95% of the population: Yves-Alexandre de Montjoye, César A. Hidalgo, Michel Verleysen & Vincent D. Blondel, "Unique in the Crowd: The privacy bounds of human mobility", Scientific Reports volume 3, Article number: 1376 (2013) https://www.nature.com/articles/srep01376 https://www.nature.com/articles/srep01376

Considerably more than for those with access. Again: once an identifier is available, correlating it with other information is trivial.

ILMostro7 4y ago
Thanks for your input. I'm sincerely asking out of ignorance and curiosity around these things.
- dredmorbius 4y ago
  A fairly classical example of readily de-anonimisable data is location, at postal-code resolution. With nothing more than two postal codes (ZIP codes in the US), representing home and work, it's possible to individually identify about 90% of the population. That information is available via, say, geocoded location using mobile phone or tracking cookie data.[1] In the case of device or vehicle tracking such as with drones, it's highly likely that a given device would be used within a particular jurisdiction or activity region. If you can pinpoint specific locations and times within those (e.g., police activity around an address + drone activity, activity following specific infrastructure such as power lines or gas distribution, training locations, etc., etc.) you can probably come up with a strong idea of who operates or owns the equipment. That is more-or-less the process that was used to identify CIA-operated aircraft used in renditions for "enhanced interrogation" (torture) by amateur plane watchers. See: https://en.wikipedia.org/wiki/Rendition_aircraft https://en.wikipedia.org/wiki/Rendition_aircraft https://web.archive.org/web/20130616175922/http://www.commondreams.org/headlines05/0320-04.htm https://web.archive.org/web/20130616175922/http://www.common... ________________________________ Notes: 1. The home+work ZIP anecdote is the one I recall. I'm not finding that specifically though this paper mentions four spatio-temporal locations sufficing for 95% of the population: Yves-Alexandre de Montjoye, César A. Hidalgo, Michel Verleysen & Vincent D. Blondel, "Unique in the Crowd: The privacy bounds of human mobility", Scientific Reports volume 3, Article number: 1376 (2013) https://www.nature.com/articles/srep01376 https://www.nature.com/articles/srep01376