Redactable Blockchains Reconcile Immutability with Real-World Regulatory and Operational Demands
Redactable blockchains introduce controlled data modification through cryptographic primitives like chameleon hashes, bridging immutability with critical regulatory compliance and operational flexibility.
OR-Aggregation Enables Efficient ZKP Set Membership in IoT
A novel OR-aggregation approach dramatically enhances zero-knowledge proof efficiency for set membership, enabling scalable, privacy-preserving data management in IoT sensor networks.
Zero-Knowledge Proofs: Bridging Theory to Practical Blockchain Applications
Zero-knowledge proofs are transitioning from theoretical cryptography to practical applications, offering scalable privacy and verifiable computation across decentralized systems.
ZKPoT: Private, Efficient Consensus for Federated Blockchain Learning
A novel Zero-Knowledge Proof of Training consensus mechanism secures federated learning, validating model contributions privately and efficiently on blockchains.
EdDSA Chains Achieve Quantum Safety with Zero-Knowledge Proofs
A novel zero-knowledge proof system enables quantum-safe upgrades for EdDSA blockchains, securing dormant assets without disruptive wallet changes.
Enhancing Quantum Oblivious Transfer with Efficient One-Way Function Commitment Schemes
Optimized commitment schemes using one-way functions significantly enhance quantum oblivious transfer efficiency, advancing secure privacy-preserving communication.
Ensuring Unique Human Identity for Decentralized Systems with Privacy
Novel Proof of Personhood protocol uses zero-knowledge cryptography for private, Sybil-resistant decentralized identity, preventing network manipulation.
Silentflow Enables Efficient, Communication-Free MPC on Resource-Limited Edge Devices
Silentflow pioneers TEE-assisted MPC, eliminating communication bottlenecks in Correlated Oblivious Transfer for real-time edge inference, advancing privacy-preserving computation.
Zero-Knowledge Proof of Traffic Secures Cooperative Vehicle Perception Data
This research introduces a novel zero-knowledge proof system enabling deterministic, privacy-preserving verification of vehicle observations, crucial for secure autonomous systems.
