{"title":"Location Privacy: User-Centric Threat Analysis","authors":"Benjamin Greschbach","doi":"10.1109/EC2ND.2011.9","DOIUrl":"https://doi.org/10.1109/EC2ND.2011.9","url":null,"abstract":"Information that describes the geographic locations of a person over time is a fairly new class of potentially privacy-harming data. In pace with certain technological advances of the recent years, more and more location data is generated and processed by various systems. Its usage for different location-based services (including the integration into social network services) encounters a steep and still ongoing rise in popularity. Besides communication infrastructure based localization methods that map IP-addresses, GSM-cell identifiers or wireless router MAC-addresses to geographic locations, the main contribution to this development comes from the proliferation of GPS-enabled mobile user devices. The critical point is that plain location data has the potential to both identify a single user and disclose sensitive information about that user's activity at the same time. This makes the robust anonymization of position information a non-trivial task and has created a lively branch in privacy research over the last years.","PeriodicalId":404689,"journal":{"name":"2011 Seventh European Conference on Computer Network Defense","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132940819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}