Details

Autor(en) / Beteiligte

• Bengio, Yoshua
• Ippolito, Daphne
• Janda, Richard
• Jarvie, Max
• Prud'homme, Benjamin
• Rousseau, Jean-François
• Sharma, Abhinav
• Yu, Yun William

Titel

Inherent privacy limitations of decentralized contact tracing apps

Ist Teil von

• Journal of the American Medical Informatics Association : JAMIA, 2021-01, Vol.28 (1), p.193-195

Ort / Verlag

England: Oxford University Press

Erscheinungsjahr

2021

Link zum Volltext

Quelle

Oxford Journals 2020 Medicine

Beschreibungen/Notizen

• Recently, there have been many efforts to use mobile apps as an aid in contact tracing to control the spread of the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) (COVID-19 [coronavirus disease 2019]) pandemic. However, although many apps aim to protect individual privacy, the very nature of contact tracing must reveal some otherwise protected personal information. Digital contact tracing has endemic privacy risks that cannot be removed by technological means, and which may require legal or economic solutions. In this brief communication, we discuss a few of these inherent privacy limitations of any decentralized automatic contact tracing system.