The emergence of quantum computing presents a critical challenge to the security of blockchain-based financial transactions, central bank digital currencies (CBDCs), and decentralized finance (DeFi).
Milad Rahmati, Nima Rahmati
doaj
A Hybrid Homomorphic Encryption approach for Federated Learning
A Aprendizagem Federada (FL) é uma abordagem de aprendizagem automática distribuída que permite o treino colaborativo de modelos sem necessidade de centralizar dados sensíveis, prometendo privacidade, embora se tenha demonstrado vulnerável a ataques de inferência de associação e de reconstrução de dados.
openaire +1 more source
Enhancement of cryptography algorithms for security of cloud-based IoT with machine learning models. [PDF]
Qasem MA +5 more
europepmc +1 more source
Edge-AI integrated secure wireless IoT architecture for real time healthcare monitoring and federated anomaly detection. [PDF]
Prabha M +3 more
europepmc +1 more source
Stochastic Poisson-embedded privacy framework for federated learning with secure homomorphic encryption in medical AI. [PDF]
Gomathi R +3 more
europepmc +1 more source
Blockchain-based secure MEC model for VANETs using hybrid networks. [PDF]
Goud GV +5 more
europepmc +1 more source
Privacy Protection Optimization Method for Cloud Platforms Based on Federated Learning and Homomorphic Encryption. [PDF]
Wang J, Wang Y.
europepmc +1 more source
Health-FedNet: secure federated learning for chronic disease prediction on MIMIC-III with differential privacy and homomorphic encryption. [PDF]
Shahid MI +3 more
europepmc +1 more source
Privacy-preserving federated credit risk models: evaluating differential privacy and homomorphic encryption techniques. [PDF]
Naresh VS, Ayyappa D.
europepmc +1 more source
Design of a multi-layered privacy-preserving architecture for secure medical data exchange in cloud environments. [PDF]
Muthuvel S, Priya S, Sampath Kumar K.
europepmc +1 more source

