{"id":466,"date":"2011-06-30T12:23:53","date_gmt":"2011-06-30T12:23:53","guid":{"rendered":"http:\/\/www.syslog.cl.cam.ac.uk\/?p=466"},"modified":"2011-06-30T12:50:21","modified_gmt":"2011-06-30T12:50:21","slug":"spotme-promoting-location-privacy-one-lie-at-a-time","status":"publish","type":"post","link":"https:\/\/www.syslog.cl.cam.ac.uk\/2011\/06\/30\/spotme-promoting-location-privacy-one-lie-at-a-time\/","title":{"rendered":"SpotME: promoting location privacy, one lie at a time"},"content":{"rendered":"

Last week at ICDS and today at Eurecom, I presented our work on location privacy. Here is the basic idea -<\/p>\n

By sharing their location on mobile social-networking services, mobile phone users benefit from a variety of\u00c2\u00a0 new services working on *aggregate* location data such as receiving\u00c2\u00a0 road traffic estimations and finding the best nightlife \"hotspots\" in a city. However, location sharing has caused outcries over privacy issues - you cannot really trust private companies with your private location data ;)\u00c2\u00a0 That's why we have recently proposed a\u00c2\u00a0 a piece of software for privacy-conscious individuals and called it SpotME (here<\/a> is the paper). This software\u00c2\u00a0 can run directly on a mobile phone and reports, in addition to\u00c2\u00a0 actual locations, a very large number of erroneous\u00c2\u00a0 (fake) locations.\u00c2\u00a0 Fake locations: \u00c2\u00a0are carefully chosen by a so-called randomised algorithm,\u00c2\u00a0 guarantee that individuals cannot be localized with high probability, yet they have little effect on services offered to car drivers in\u00c2\u00a0 Zurich and to subway passengers in London. For technical details, please have a go at the paper ;)<\/p>\n","protected":false},"excerpt":{"rendered":"

Last week at ICDS and today at Eurecom, I presented our work on location privacy. Here is the basic idea – By sharing their location on mobile social-networking services, mobile phone users benefit from a variety of\u00c2\u00a0 new services working on *aggregate* location data such as receiving\u00c2\u00a0 road traffic estimations and finding the best nightlife […]<\/p>\n","protected":false},"author":25,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.syslog.cl.cam.ac.uk\/wp-json\/wp\/v2\/posts\/466"}],"collection":[{"href":"https:\/\/www.syslog.cl.cam.ac.uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.syslog.cl.cam.ac.uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.syslog.cl.cam.ac.uk\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/www.syslog.cl.cam.ac.uk\/wp-json\/wp\/v2\/comments?post=466"}],"version-history":[{"count":5,"href":"https:\/\/www.syslog.cl.cam.ac.uk\/wp-json\/wp\/v2\/posts\/466\/revisions"}],"predecessor-version":[{"id":494,"href":"https:\/\/www.syslog.cl.cam.ac.uk\/wp-json\/wp\/v2\/posts\/466\/revisions\/494"}],"wp:attachment":[{"href":"https:\/\/www.syslog.cl.cam.ac.uk\/wp-json\/wp\/v2\/media?parent=466"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.syslog.cl.cam.ac.uk\/wp-json\/wp\/v2\/categories?post=466"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.syslog.cl.cam.ac.uk\/wp-json\/wp\/v2\/tags?post=466"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}