Post-Quantum Secure Inner Product Functional Encryption Using Multivariate Public Key Cryptography
Sign Up to like & getrecommendations! Published in 2021 at "Mediterranean Journal of Mathematics"
DOI: 10.1007/s00009-021-01841-2
Abstract: Functional encryption (FE) is an exciting new public key paradigm that provides solutions to most of the security challenges of cloud computing in a non-interactive manner. In the context of FE, inner product functional encryption… read more here.
Keywords: post quantum; public key; mathbf; cryptography ... See more keywords
LR-RRA-CCA secure functional encryption for randomized functionalities from trapdoor HPS and LAF
Sign Up to like & getrecommendations! Published in 2017 at "Science China Information Sciences"
DOI: 10.1007/s11432-017-9120-4
Abstract: 1Department of Network Engineering, Anhui Science and Technology University, Fengyang 233100, China; 2Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 3Department of Mathematics, Hangzhou Normal University, Hangzhou 311121, China; 4National… read more here.
Keywords: cca secure; university; china; secure functional ... See more keywords
Aggregation Tree Statistical Computing Based on Functional Encryption
Sign Up to like & getrecommendations! Published in 2019 at "Wuhan University Journal of Natural Sciences"
DOI: 10.1007/s11859-019-1376-8
Abstract: The medical monitoring system is widely used. In the medical monitoring system, each user only possesses one piece of data logging that participates in statistical computing. Specifically in such a situation, a feasible solution is… read more here.
Keywords: encrypted data; statistical computing; aggregation; data aggregation ... See more keywords
Privacy-Preserving Federated Learning via Functional Encryption, Revisited
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3255171
Abstract: Federated Learning (FL), emerging as a distributed machine learning, is a popular paradigm that allows multiple users to collaboratively train an intermediate model by exchanging local models without the training data leaving each user’s domain.… read more here.
Keywords: functional encryption; federated learning; privacy preserving; privacy ... See more keywords
Accelerating Decentralized and Partial-Privacy Data Access for VANET via Online/Offline Functional Encryption
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3174888
Abstract: Vehicles share information via Vehicular Ad-hoc Network (VANET) that is considered the foundation of the intelligent transportation system. Access control from functional encryption (FE) allows secure sharing over encrypted data with both utilization and privacy.… read more here.
Keywords: functional encryption; privacy; vanet; partial privacy ... See more keywords