This paper proposes Prism, a secret sharing based approach to compute private set operations (i. e., intersection and union), as well as aggregates over outsourced databases belonging to multiple owners.
In this paper, we introduce Quest, a system that empowers organizations to observe individuals and spaces to implement policies for social distancing and contact tracing using WiFi connectivity data in a passive and privacy-preserving manner.
Despite exciting progress on cryptography, secure and efficient query processing over outsourced data remains an open challenge.
Specifically, the paper focuses on inferring the user's activities -- which may, in turn, lead to the user's privacy -- via inferences through device activities and network traffic analysis.
Contemporary IoT environments, such as smart buildings, require end-users to trust data-capturing rules published by the systems.
This paper focuses on the new challenges of privacy that arise in IoT in the context of smart homes.
Cryptography and Security Networking and Internet Architecture