{"id":58666,"date":"2025-05-17T15:31:08","date_gmt":"2025-05-17T15:31:08","guid":{"rendered":"https:\/\/www.threatshub.org\/blog\/boffins-devise-technique-that-lets-users-prove-location-without-giving-it-away\/"},"modified":"2025-05-17T15:31:08","modified_gmt":"2025-05-17T15:31:08","slug":"boffins-devise-technique-that-lets-users-prove-location-without-giving-it-away","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/boffins-devise-technique-that-lets-users-prove-location-without-giving-it-away\/","title":{"rendered":"Boffins devise technique that lets users prove location without giving it away"},"content":{"rendered":"<p>Computer scientists from universities in Germany, Hong Kong, and the United Kingdom have proposed a way to provide verifiable claims about location data without surrendering privacy.<\/p>\n<p>The technique, referred to as Zero-Knowledge Location Privacy (ZKLP), aims to provide access to unverified location data in a way that preserves privacy without sacrificing accuracy and utility for applications that might rely on such data. It&#8217;s described in <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/csdl-downloads.ieeecomputer.org\/proceedings\/sp\/2025\/2236\/00\/223600a057.pdf?Expires=1747342434&amp;Policy=eyJTdGF0ZW1lbnQiOlt7IlJlc291cmNlIjoiaHR0cHM6Ly9jc2RsLWRvd25sb2Fkcy5pZWVlY29tcHV0ZXIub3JnL3Byb2NlZWRpbmdzL3NwLzIwMjUvMjIzNi8wMC8yMjM2MDBhMDU3LnBkZiIsIkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTc0NzM0MjQzNH19fV19&amp;Signature=Iuv20AkOo8mr8Nc6UuxPt0bvtIa6bkjzE8teh9wBXDQ7WbWr6qVHnD9-WL5IuNhbrF6E688i-LpQ0jFEikc6Y6vtprRCoGRIcfdt~Dxp8GWw6PFYk407HlJsZi973Usnigq7arYXzQO5~496UC1JIvD2p~8-Yv0La5BNzwby9n3uVtkPzIhMA72QF8mG2s1jx~iVfAIomu24iVeCtBnOplRHVmepjROOUIwzpuuNb6a2rcaLQgBc6M7GJauUGRXyxq04Ohgp5RGFROkU7nKtfkuDqJ1mmlF7RQruZqJOuZD1pG5eFmG6ywK9hgvwozDgLPc~TcmwHXnT1uGlDLsNHQ__&amp;Key-Pair-Id=K12PMWTCQBDMDT\">a paper<\/a> [PDF] presented this week at the 2025 IEEE Symposium on Security and Privacy.<\/p>\n<p>Location data, obtained from mobile phones and apps among other sources, has become highly sought after by data brokers. But it&#8217;s particularly sensitive. As the Electronic Frontier Foundation <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/www.eff.org\/issues\/location-data-brokers\">observes<\/a>, it &#8220;can reveal where we live and work, who we associate with, and where we worship, protest, and seek medical care.&#8221;<\/p>\n<div aria-hidden=\"true\" class=\"adun\" data-pos=\"top\" data-raptor=\"condor\" data-xsm=\",fluid,mpu,\" data-sm=\",fluid,mpu,\" data-md=\",fluid,mpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=2&amp;c=2aCiueSCIkKpXmBuYkNfTjQAAAEU&amp;t=ct%3Dns%26unitnum%3D2%26raptor%3Dcondor%26pos%3Dtop%26test%3D0\" target=\"_blank\" rel=\"noopener\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=2&amp;c=2aCiueSCIkKpXmBuYkNfTjQAAAEU&amp;t=ct%3Dns%26unitnum%3D2%26raptor%3Dcondor%26pos%3Dtop%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<p>In their paper, authors Jens Ernstberger (Technical University of Munich), Chengru Zhang (University of Hong Kong), Luca Ciprian (Technical University of Munich), Philipp Jovanovic (University College London), and Sebastian Steinhorst (Technical University of Munich) note that various attempts have been made to mitigate the privacy risk of location data.<\/p>\n<div aria-hidden=\"true\" class=\"adun\" data-pos=\"top\" data-raptor=\"falcon\" data-xmd=\",fluid,mpu,leaderboard,\" data-lg=\",fluid,mpu,leaderboard,\" data-xlg=\",fluid,billboard,superleaderboard,mpu,leaderboard,\" data-xxlg=\",fluid,billboard,superleaderboard,brandwidth,brandimpact,leaderboard,mpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=4&amp;c=44aCiueSCIkKpXmBuYkNfTjQAAAEU&amp;t=ct%3Dns%26unitnum%3D4%26raptor%3Dfalcon%26pos%3Dmid%26test%3D0\" target=\"_blank\" rel=\"noopener\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=4&amp;c=44aCiueSCIkKpXmBuYkNfTjQAAAEU&amp;t=ct%3Dns%26unitnum%3D426raptor%3Dfalcon%26pos%3Dmid%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<div class=\"adun_eagle_desktop_story_wrapper\">\n<div aria-hidden=\"true\" class=\"adun\" data-pos=\"mid\" data-raptor=\"eagle\" data-xxlg=\",mpu,dmpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=3&amp;c=33aCiueSCIkKpXmBuYkNfTjQAAAEU&amp;t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0\" target=\"_blank\" rel=\"noopener\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=3&amp;c=33aCiueSCIkKpXmBuYkNfTjQAAAEU&amp;t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<\/p><\/div>\n<p>These include communication protocols that rely on obfuscation, to make location data less precise, and cryptographic techniques, to make location data less available. Examples include <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/arxiv.org\/abs\/1212.1984\">Geo-Indistinguishability<\/a> and <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/www.usenix.org\/legacy\/event\/sec09\/tech\/full_papers\/popa.pdf\">VPriv<\/a> [PDF], among others.<\/p>\n<p>The authors argue that these approaches have shortcomings, like reliance on third-party data anonymization.<\/p>\n<div aria-hidden=\"true\" class=\"adun\" data-pos=\"top\" data-raptor=\"falcon\" data-xsm=\",fluid,mpu,\" data-sm=\",fluid,mpu,\" data-md=\",fluid,mpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=4&amp;c=44aCiueSCIkKpXmBuYkNfTjQAAAEU&amp;t=ct%3Dns%26unitnum%3D4%26raptor%3Dfalcon%26pos%3Dmid%26test%3D0\" target=\"_blank\" rel=\"noopener\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=4&amp;c=44aCiueSCIkKpXmBuYkNfTjQAAAEU&amp;t=ct%3Dns%26unitnum%3D426raptor%3Dfalcon%26pos%3Dmid%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<p>&#8220;With ZKLP, users can prove to any third party that they are within a specific geographical region while obfuscating their exact location for utility and privacy,&#8221; the authors claim. &#8220;To the best of our knowledge, ZKLP provides the first paradigm for non-interactive, publicly verifiable, and privacy-preserving proofs of geolocation.&#8221;<\/p>\n<p>ZKLP does not address the issue of an individual misrepresenting location data (spoofing) \u2013 it proves only the location data&#8217;s value, not its provenance. The authors observe that additional overhead would be required to prove that location data is authentic. The potential solutions they suggest involve network communication with a third party, such as Apple&#8217;s &#8220;Find My&#8221; network or GNSS (Global Navigation Satellite System) signals. So data provenance assurance \u2013 you are where you say you are \u2013 would no longer be non-interactive.<\/p>\n<p>The authors&#8217; technique relies on zero-knowledge proofs known as Succinct Non-Interactive Argument of Knowledge (zk-SNARK), a cryptographic mechanism that allows one party to prove knowledge of a secret without actually revealing the secret.<\/p>\n<p><a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/arxiv.org\/abs\/2210.08674\">Zero-knowledge proofs<\/a> often use fixed-point arithmetic because it&#8217;s more computationally efficient. But ZKLP has been designed to work with the Discrete Global Grid System (<a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/ecce.esri.ca\/blog\/2023\/06\/24\/introduction-to-discrete-global-grid-system-dggs\/\">DGGS<\/a>), a geospatial referencing framework that divides the world into hexagonal grids. It allows users to specify the granularity of their location on the hex grid map \u2013 they could choose to be in a city or in a more specific location like a park and their claim would be computationally verifiable.<\/p>\n<p>But DGGS is better suited to floating-point math. Hexagons, geodata, and associated computations require square roots and trigonometric functions. These are data types and operations best handled with floating-point calculations.<\/p>\n<div aria-hidden=\"true\" class=\"adun\" id=\"story_eagle_xsm_sm_md_xmd_lg_xlg\" data-pos=\"mid\" data-raptor=\"eagle\" data-xsm=\",mpu,dmpu,\" data-sm=\",mpu,dmpu,\" data-md=\",mpu,dmpu,\" data-xmd=\",mpu,dmpu,\" data-lg=\",mpu,dmpu,\" data-xlg=\",mpu,dmpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=3&amp;c=33aCiueSCIkKpXmBuYkNfTjQAAAEU&amp;t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0\" target=\"_blank\" rel=\"noopener\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_security\/front&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=3&amp;c=33aCiueSCIkKpXmBuYkNfTjQAAAEU&amp;t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<p>So the academics had to come up with optimizations for computing floating-point SNARKs, in conjunction with optimizations to eliminate trigonometric operations, that together make ZKLP computationally more practical.<\/p>\n<p>They say it was challenging to implement SNARKs using floating-point arithmetic that complies with the <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8766229\">IEEE 754<\/a> standard. But the result is a system that&#8217;s less error-prone and more secure than something based on fixed-point calculations.<\/p>\n<p>&#8220;In comparison to an unoptimized fixed point baseline, our implementation has 15.9\u00d7 less constraints for FP32 values, and 12.2\u00d7 less constraints for FP64 values,&#8221; the researchers explain in their paper. &#8220;We apply ZKLP and show that it can realize privacy-preserving peer-to-peer proximity testing, through which a user can evaluate its proximity to 470 peers per second.&#8221;<\/p>\n<p>Beyond privacy-preserving proximity testing, the authors see their scheme being useful for scenarios where location data has already been authenticated.<\/p>\n<p>&#8220;For example, in the workflow of <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/c2pa.org\/\">C2PA<\/a> (Coalition for Content Provenance and Authenticity), the location where a photo is taken is signed by a C2PA-compatible camera, and thus we can seamlessly integrate ZKLP with C2PA to provide photo authenticity while obfuscating the accurate location, thereby preserving the privacy of the photo\u2019s author,&#8221; they state.<\/p>\n<p>They also suggest their methods could be useful for machine learning applications, because parameters are often represented as floating-point numbers, and as a building block for Proof-of-Personhood mechanisms that are being explored. \u00ae<\/p>\n<p> READ MORE <a href=\"https:\/\/go.theregister.com\/feed\/www.theregister.com\/2025\/05\/17\/privacy_preserving_location_sharing\/\">HERE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>ZKLP system allows apps to confirm user presence in a region without exposing exactly where Computer scientists from universities in Germany, Hong Kong, and the United Kingdom have proposed a way to provide verifiable claims about location data without surrendering privacy.\u2026 READ MORE HERE&#8230;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_layout":"default_layout","footnotes":""},"categories":[63],"tags":[],"class_list":["post-58666","post","type-post","status-publish","format-standard","hentry","category-the-register"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Boffins devise technique that lets users prove location without giving it away 2026 | ThreatsHub Cybersecurity News<\/title>\n<meta name=\"description\" content=\"ThreatsHub Cybersecurity News | ThreatsHub.org | Cloud Security &amp; Cyber Threats Analysis Hub. 100% Free OSINT Threat Intelligent and Cybersecurity News.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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