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Found 10 papers, 0 papers with code
Federated Analytics: A survey
Federated analytics (FA) is a privacy-preserving framework for computing data analytics over multiple remote parties (e. g., mobile devices) or silo-ed institutional entities (e. g., hospitals, banks) without sharing the data among parties.
Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases
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.
Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets
This paper proposes a system, entitled Concealer that allows sharing time-varying spatial data (e. g., as produced by sensors) in encrypted form to an untrusted third-party service provider to provide location-based applications (involving aggregation queries over selected regions over time windows) to users.
Panda: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data
We, first, provide a new security definition, entitled partitioned data security for guaranteeing that the joint processing of non-sensitive data (in cleartext) and sensitive data (in encrypted form) does not lead to any leakage.
Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets
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.
Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data -- Full Version
Despite exciting progress on cryptography, secure and efficient query processing over outsourced data remains an open challenge.
Canopy: A Verifiable Privacy-Preserving Token Ring based Communication Protocol for Smart Homes
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.
IoT Notary: Sensor Data Attestation in Smart Environment
Contemporary IoT environments, such as smart buildings, require end-users to trust data-capturing rules published by the systems.
Verifiable Round-Robin Scheme for Smart Homes
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
Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data
Despite extensive research on cryptography, secure and efficient query processing over outsourced data remains an open challenge.
