{"id":16658,"date":"2024-11-12T21:42:15","date_gmt":"2024-11-12T20:42:15","guid":{"rendered":"https:\/\/www.digitalfutures.kth.se\/?page_id=16658"},"modified":"2025-01-22T19:04:24","modified_gmt":"2025-01-22T18:04:24","slug":"theory-and-methods-for-privacy-preserving-localization-in-wireless-networks","status":"publish","type":"page","link":"https:\/\/wpmu-tris.sys.kth.se\/digitalfutures\/research\/postdoc-fellowships\/postdoc-fellowships-ongoing-projects\/theory-and-methods-for-privacy-preserving-localization-in-wireless-networks\/","title":{"rendered":"Theory and Methods for Privacy-Preserving Localization in Wireless Networks"},"content":{"rendered":"

October 2024 – September 2026<\/p>\n

Objective<\/em>
\nTowards the digital transformation, this research program aims to establish theory and methods for privacy-preserving localization in wireless networks. A privacy-preserving localization method is supposed to preserve user privacy while enabling communication and localization functionalities.<\/p>\n

Background<\/em>
\nTelecommunications providers possess vast amounts of wireless connection data that can be used for localization. Users will benefit from this location awareness, gaining access to a plethora of convenient and personalized services that will drive the digital transformation towards more intelligent, economically viable, and socially sustainable societies and industries. The scope of these services spans the gamut from industry 4.0 and home automation to comprehensive healthcare monitoring. However, it is crucial to acknowledge the potential dangers associated with such location-centric data. In the wrong hands, this information could raise privacy concerns, including data misuse, security breaches, and\u00a0threats to property. In light of these risks, this research program aims to establish theory and methods for privacy-preserving localization in wireless networks.<\/p>\n

About the Digital Futures Postdoc Fellow<\/em>
\nHanying Zhao<\/strong> is a postdoc at the Division of Information Science and Engineering at KTH. Her research interests include statistical inference, privacy-preserving technology, and localization.<\/p>\n

Main supervisor<\/em>
\nTobias Oechtering<\/strong>, Professor, Division of Information Science and Engineering at KTH<\/p>\n

Co-supervisor<\/em>
\nMats Bengtsson<\/strong>, Professor, Division of Information Science and Engineering at KTH<\/p>\n","protected":false},"excerpt":{"rendered":"

October 2024 – September 2026: Hanying Zhao will focus on establishing theory and methods for privacy-preserving localization in wireless networks…<\/p>\n","protected":false},"author":46,"featured_media":0,"parent":13339,"menu_order":325,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-16658","page","type-page","status-publish","hentry"],"yoast_head":"\nTheory and Methods for Privacy-Preserving Localization in Wireless Networks — Digital Futures<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Theory and Methods for Privacy-Preserving Localization in Wireless Networks — Digital Futures\" \/>\n<meta property=\"og:description\" content=\"October 2024 - September 2026: Hanying Zhao will focus on establishing theory 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