Willchain: Secure, Private, Self-Executing Digital Estate Planning
Willchain introduces a decentralized protocol for digital estate planning, leveraging novel cryptographic primitives to ensure private, self-executing asset distribution without fund movement.
Sublinear Vector Commitments Enhance Blockchain Stateless Client Efficiency
This research introduces asymptotically optimal vector commitments, enabling significantly more efficient state updates for scalable decentralized systems like stateless blockchains.
FBFT: Confidential Byzantine Fault Tolerance for Central Bank DLTs
A novel protocol integrates PBFT with threshold signatures, enabling confidential, fault-tolerant consensus in permissioned distributed ledgers for finance.
Sublinear Zero-Knowledge Proofs Revolutionize On-Device Verifiable Computation
This breakthrough redefines zero-knowledge proof generation, enabling efficient on-device computation by dramatically reducing prover memory requirements.
Transparent Zero-Knowledge Proofs Revolutionize Blockchain Security and Scalability
A new class of zero-knowledge proofs eliminates trusted setups, offering quantum-resistant transparency and enhanced scalability for decentralized systems.
Zero-Knowledge Proofs: Transforming Privacy and Verifiability in Digital Systems
Zero-Knowledge Proofs allow verifiable computation without data disclosure, enabling secure, private information exchange and scalable decentralized systems.
Quantum One-Shot Signatures Achieve Unconditional Standard-Model Security
This research introduces quantum one-shot signatures, enabling provably secure, single-use digital commitments without relying on artificial oracle models.
Ordered Multi-Signatures Achieve Compact Public-Key Aggregation without Random Oracles
A novel ordered multi-signature scheme compresses public keys and verifies signing order, enhancing efficiency and security for decentralized systems.
Zero-Knowledge Proofs Secure UAV Flight Path Privacy and Authentication
ZAPS protocol leverages zk-SNARKs for UAV flight path privacy, enabling verifiable compliance without disclosing sensitive trajectory data.
