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10.1016/j.osnem.2021.100125 http://scihub22266oqcxt.onion/10.1016/j.osnem.2021.100125 33681543!7910700!33681543     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Online+Soc+Netw+Media 2021 ; 22 (ä): 100125 Nephropedia Template TP {{tp|p=33681543|t=2021. Covid notions: Towards formal definitions - and documented understanding - of privacy goals and claimed protection in proximity-tracing services |pdf=|usr=}}{{33681543}} gab.com Text Covid notions: Towards formal definitions - and documented understanding - of privacy goals and claimed protection in proximity-tracing services JO: Online Soc Netw Media http://www.kidney.de/pget.php?&tw=1&pmid=33681543 #FOAvip The recent SARS-CoV-2 pandemic gave rise to management approaches using mobile apps for contact tracing. The corresponding apps track individuals and their interactions, to facilitate alerting users of potential infections well before they become infectious themselves. Naive implementation obviously jeopardizes the privacy of health conditions, location, activities, and social interaction of its users. A number of protocol designs for colocation tracking have already been developed, most of which claim to function in a privacy preserving manner. However, despite claims such as "GDPR compliance", "anonymity", "pseudonymity" or other forms of "privacy", the authors of these designs usually neglect to precisely define what they (aim to) protect. We make a first step towards formally defining the privacy notions of proximity tracing services, especially with regards to the health, (co-)location, and social interaction of their users. We also give a high-level intuition of which protection the most prominent proposals likely can and cannot achieve. This initial overview indicates that all proposals include some centralized services, and none protects identity and (co-)locations of infected users perfectly from both other users and the service provider. Twit Text FOAVip Covid notions: Towards formal definitions - and documented understanding - of privacy goals and claimed protection in proximity-tracing services ????Online Soc Netw Media http://www.kidney.de/pget.php?&tw=1&pmid=33681543 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33681543 #FOAvip English Wikipedia <ref>{{Cite pmid|33681543}}</ref> Covid notions: Towards formal definitions - and documented understanding - of privacy goals and claimed protection in proximity-tracing services #MMPMID33681543 Kuhn C; Beck M; Strufe T Online Soc Netw Media 2021[Mar]; 22 (ä): 100125 PMID33681543show ga The recent SARS-CoV-2 pandemic gave rise to management approaches using mobile apps for contact tracing. The corresponding apps track individuals and their interactions, to facilitate alerting users of potential infections well before they become infectious themselves. Naive implementation obviously jeopardizes the privacy of health conditions, location, activities, and social interaction of its users. A number of protocol designs for colocation tracking have already been developed, most of which claim to function in a privacy preserving manner. However, despite claims such as "GDPR compliance", "anonymity", "pseudonymity" or other forms of "privacy", the authors of these designs usually neglect to precisely define what they (aim to) protect. We make a first step towards formally defining the privacy notions of proximity tracing services, especially with regards to the health, (co-)location, and social interaction of their users. We also give a high-level intuition of which protection the most prominent proposals likely can and cannot achieve. This initial overview indicates that all proposals include some centralized services, and none protects identity and (co-)locations of infected users perfectly from both other users and the service provider. äCovid notions: Towards formal definitions - and documented understandi(epmc).pdf DeepDyve Pubget Overpricing