Distributed Verifiable Computation Secures Mobile Edge Computing Integrity and Efficiency
This paper introduces a distributed verifiable computation framework for mobile edge environments, ensuring integrity and low-latency for critical IoT applications.
OR-Aggregation Achieves Constant-Size ZKPs for Resource-Constrained Networks
OR-Aggregation introduces a novel ZKP mechanism, ensuring constant proof size and verification time, transforming privacy in IoT and blockchain environments.
Decentralized Federated Learning Framework Enhances IoT Privacy and Security
A novel framework integrates DABE, HE, SMPC, and blockchain to secure IoT federated learning, enabling privacy-preserving AI and verifiable data exchange.
OR-Aggregation: Constant-Size ZKPs for Resource-Constrained Networks
This research introduces a novel OR-aggregation technique, fundamentally transforming privacy and verifiable computation efficiency in resource-constrained environments.
OR-Aggregation: Efficient Zero-Knowledge Set Membership for IoT Blockchains
This research introduces a novel OR-aggregation technique, enabling constant-size zero-knowledge proofs for set membership in resource-constrained IoT blockchain environments.
