Quantum federated learning for autonomous vehicle cybersecurity: An analytical review of architectures and threat landscapes. [PDF]
MethodsXT S, Devadas RM.
europepmc +1 more source
Quantum-Resilient Federated Learning for Multi-Layer Cyber Anomaly Detection in UAV Systems. [PDF]
Sensors (Basel)Şahin CB.
europepmc +1 more source
BBAS: A blockchain-based authentication system for e-health with multi-factor authentication, access control, and post-quantum security. [PDF]
Sci RepLatif R +4 more
europepmc +1 more source
Machine Learning Enhanced Quantum-Safe Encryption: A Novel Optimisation Framework. [PDF]
Sensors (Basel)Ahmad R +3 more
europepmc +1 more source
K-XMSS and K-SPHINCS+: Enhancing Security in Next-Generation Mobile Communication and Internet Systems with Hash Based Signatures Using Korean Cryptography Algorithms. [PDF]
Sensors (Basel), 2023 Sim M +5 more
europepmc +1 more source
Pipelined and conflict-free number theoretic transform accelerator for CRYSTALS-Kyber on FPGA. [PDF]
PLoS OneWaris A, Aziz A, Khan BM.
europepmc +1 more source
CITADEL: a post-quantum secure blockchain framework for privacy-preserving electronic health records with temporally-partitioned federated learning. [PDF]
Front Artif IntellSegar N, Vijayan V.
europepmc +1 more source
Ataques y aplicaciones a CRYSTALS-Dilithium
CRYSTALS-Dilithium is one of the three digital signature schemes included in the third round of post-quantum standard selection by the National Institute of Standards and Technology. It is a latticebased algorithm that adheres to the well-known Fiat-Shamir scheme guidelines.
openaire +1 more source
Boragerma[5]pyramidanes via a Germole-to-Borole Rearrangement. [PDF]
Inorg ChemBührmann L +5 more
europepmc +1 more source