
Daniel Foster
· LecturerUniversity of Maryland, College Park · Communication
Active 1948–2024
Research topics
- Political Science
- Computer Science
- Computer Security
- World Wide Web
- Internet privacy
- Engineering
- Law
- Medicine
Selected publications
PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing
arXiv (Cornell University) · 2020 · 168 citations
- Computer Security
- Computer Science
- Internet privacy
The global health threat from COVID-19 has been controlled in a number of instances by large-scale testing and contact tracing efforts. We created this document to suggest three functionalities on how we might best harness computing technologies to supporting the goals of public health organizations in minimizing morbidity and mortality associated with the spread of COVID-19, while protecting the civil liberties of individuals. In particular, this work advocates for a third-party free approach to assisted mobile contact tracing, because such an approach mitigates the security and privacy risks of requiring a trusted third party. We also explicitly consider the inferential risks involved in any contract tracing system, where any alert to a user could itself give rise to de-anonymizing information. More generally, we hope to participate in bringing together colleagues in industry, academia, and civil society to discuss and converge on ideas around a critical issue rising with attempts to mitigate the COVID-19 pandemic.
PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing
IEEE Data(base) Engineering Bulletin · 2020 · 4 citations
- Computer Science
- Computer Security
- Computer Science
The global health threat from COVID-19 has been controlled in a number of instances by large-scale testing and contact tracing efforts. We created this document to suggest three functionalities on how we might best harness computing technologies to supporting the goals of public health organizations in minimizing morbidity and mortality associated with the spread of COVID-19, while protecting the civil liberties of individuals. In particular, this work advocates for a third-party–free approach to assisted mobile contact tracing, because such an approach mitigates the security and privacy risks of requiring a trusted third party. We also explicitly consider the inferential risks involved in any contract tracing system, where any alert to a user could itself give rise to de-anonymizing information. More generally, we hope to participate in bringing together colleagues in industry, academia, and civil society to discuss and converge on ideas around a critical issue rising with attempts to mitigate the COVID-19 pandemic.
Frequent coauthors
- 79 shared
Robert A. Stine
University of Pennsylvania
- 41 shared
Sham M. Kakade
- 40 shared
Lyle Ungar
California University of Pennsylvania
- 40 shared
Richard P. Waterman
University of Pennsylvania
- 28 shared
Sergiu Hart
- 21 shared
Daniel Hsu
- 19 shared
H. Peyton Young
- 18 shared
Rakesh Vohra
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