Zero-Knowledge Proofs: Practical Cryptographic Privacy and Scalability Advancement
Zero-knowledge proofs enable verifiable computation without revealing underlying data, fundamentally enhancing privacy and scalability across decentralized systems.
Merklized Transactions Enable Granular Data Privacy and Scalable Verification
Merklized transactions redefine blockchain data handling, allowing granular verification and redaction for enhanced privacy and compliance without altering core immutability.
V-ZOR: Verifiable Cross-Chain Oracles via ZKP and Quantum Randomness
V-ZOR introduces a verifiable oracle relay, integrating zero-knowledge proofs, quantum randomness, and cross-chain restaking to secure decentralized cross-chain communication.
Cryptographic Analysis Fortifies Blockchain Security against Evolving Attacks
This research systematically categorizes blockchain vulnerabilities through a cryptographic lens, proposing layered defenses to secure decentralized systems against advanced threats.
Brazil Integrates Cardano Blockchain for Public Sector Digital Transformation
Integrating Cardano's DLT into Brazil's federal IT infrastructure optimizes administrative transparency and operational efficiency, establishing a scalable framework for digital governance and fostering a skilled blockchain workforce.
Enhanced Threshold RSA Aggregate Signatures Shrink Blockchain Size
This research introduces an RSA-based aggregate signature scheme, fundamentally reducing blockchain storage and network traffic by consolidating multiple signatures into one.
Blockchain Enhances Cloud Data Integrity and Privacy with Deduplication Auditing
This research secures cloud data with a blockchain framework, enabling private deduplication and audit without trusted intermediaries, ensuring integrity and ownership privacy.
Verifiable Tree Commitments Enable Scalable Cross-Shard State Synchronization
A novel cryptographic primitive, Verifiable Tree Commitments, revolutionizes sharded blockchain state management, enabling unprecedented scalability and security.
Pseudorandom Error-Correcting Codes Enable Provable AI Watermarking
This research introduces Pseudorandom Error-Correcting Codes (PRCs), a novel cryptographic primitive providing provable guarantees for watermarking generative AI models.
