zk-STARKs Enable Scalable Private Decentralized Identity and Data Sharing
This framework uses zk-STARKs and cryptographic accumulators to enable private identity verification and scalable credential revocation, securing a trusted data economy.
CRSet Achieves Private Non-Interactive Credential Revocation Concealing All Metadata
CRSet introduces Bloom filter cascades with padding to cryptographically conceal credential revocation metadata, enabling truly private self-sovereign identity.
zk-STARKs and Accumulators Secure Scalable Private Decentralized Identity
This framework leverages zk-STARKs for private credential disclosure and cryptographic accumulators for scalable revocation, enabling a trusted, post-quantum data economy.
Zero-Knowledge Identity Framework Secures Private Data Sharing and Revocation
This new framework merges Decentralized Identity with zk-STARKs and cryptographic accumulators, enabling scalable, privacy-preserving credential verification and revocation.
zk-STARKs Secure Scalable Decentralized Identity and Private Data Sharing
Integrating zk-STARKs with W3C DID standards enables selective credential disclosure and scalable revocation, securing user data sovereignty.
Zero-Knowledge Proof of Training Secures Decentralized Federated Learning
ZKPoT consensus uses zk-SNARKs to verify machine learning contributions privately, resolving the privacy-verifiability trade-off for decentralized AI.
Supervised Decentralized Identity Balances Anonymity, Revocability, and Regulatory Oversight
A novel DID framework integrates dynamic accumulators and zero-knowledge proofs to enable regulatory oversight and credential revocation without sacrificing user privacy.
Lattice-Based Accumulators Enable Post-Quantum Revocable Anonymous Credentials
This research introduces a novel lattice-based accumulator, offering a post-quantum secure and communication-efficient method for revoking anonymous digital credentials.
