Blockchain privacy denotes the degree to which transactions and user identities are obscured on a distributed ledger. While many blockchains offer pseudonymity, true privacy involves techniques that prevent the linkage of on-chain activity to real-world identities. This aims to protect user data and financial autonomy.
Context
The ongoing development and adoption of privacy-enhancing technologies within the blockchain sphere form a critical area of discussion. News coverage often highlights the emergence of zero-knowledge proofs, confidential transactions, and privacy-focused altcoins. Debates persist regarding the regulatory implications of enhanced blockchain privacy, particularly concerning its potential use in illicit activities versus its utility for legitimate user protection and financial sovereignty.
A hybrid protocol integrates zero-knowledge proofs and secure computation to enable confidential, computationally verifiable, and legally enforceable smart contracts.
Proof of Encryption, via BITE Protocol, cryptographically guarantees transaction privacy and fairness at consensus, enabling secure DeFi and institutional blockchain adoption.
A new primitive using Fully Homomorphic Encryption allows public blockchains to facilitate private, institutional-grade DeFi lending, addressing a critical confidentiality gap.
A novel consensus mechanism encrypts transactions before validation, eradicating Maximal Extractable Value and enabling confidential on-chain operations.
This research introduces Ligetron, a novel zero-knowledge proof system that leverages WebAssembly semantics to achieve sublinear memory usage and post-quantum security, enabling scalable verifiable computation on commodity hardware and browsers.
This strategic capital infusion accelerates the Canton Network's capacity to integrate real-world assets, enabling compliant, privacy-preserving institutional digital finance.
This integration of a zero-knowledge privacy layer on Celo enables confidential, scalable B2B transactions, enhancing operational efficiency and compliance for global enterprises.
This research introduces a blockchain-smart contract system using identity-based broadcast encryption to enable private, verifiable cloud data deduplication and auditing, removing central trust.
This work introduces publicly verifiable private information retrieval, allowing any party to confirm data integrity without compromising query privacy, crucial for transparent decentralized systems.
This research introduces Batched Identity-Based Encryption, a novel primitive enabling selective transaction decryption to advance blockchain mempool privacy and efficiency.
A foundational cryptographic breakthrough enables distributed computation and key management without revealing private inputs, unlocking new frontiers for on-chain privacy and robust security.
This survey distills the expansive utility of zero-knowledge proofs, showcasing their transformative impact on privacy and scalability across digital systems.
This work introduces oblivious accumulators, a cryptographic primitive that conceals set elements and size, enabling truly private on-chain data management.
This research introduces novel zero-knowledge proof protocols to enable private proof-of-reserves and trustless light clients on Bitcoin, expanding its core capabilities.
This research introduces a protocol for confidential smart contracts, leveraging Fully Homomorphic Encryption to process encrypted data on-chain, securing sensitive information in decentralized applications.
Introduces a quantum-resistant Identity-Based Encryption scheme allowing private data sharing on blockchains with secure, delegated decryption, enhancing future privacy.
The Ethereum Foundation introduces a comprehensive privacy and interoperability roadmap, fortifying core architectural layers with zero-knowledge proofs.
This research introduces novel proof systems and architectures that fundamentally scale zero-knowledge proofs, reducing server communication costs for privacy-preserving applications.
This survey demystifies the complex Zero-Knowledge Proof landscape, offering a critical evaluation of frameworks to accelerate practical application development.
This research introduces novel ZKP protocols, significantly improving proof generation speed to enable broader, more efficient privacy-preserving applications.
This architectural shift embeds privacy across the Ethereum stack, enabling secure, confidential transactions and data interactions essential for global adoption.
Kinexys Digital Assets streamlines institutional financial operations through tokenization, enhancing privacy, identity, and composability for superior market efficiency.
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