Computational Zero-Knowledge → News → Incrypthos News

Computational Zero-Knowledge

Definition ∞ Computational zero-knowledge refers to cryptographic proofs where a prover demonstrates knowledge of a secret without disclosing the secret itself, provided the verifier has limited computational power. This system ensures that while the proof is convincing, it does not reveal any information beyond the truth of the statement. The security of such proofs relies on the computational difficulty of breaking the underlying cryptographic assumptions.
Context ∞ Computational zero-knowledge proofs are a key technology in enhancing privacy and scalability across various blockchain applications. News reports often discuss their application in confidential transactions, verifiable computations, and scaling solutions for decentralized networks. The advancement of these proofs directly influences the privacy features and transaction throughput of next-generation digital asset systems.

A bisected sphere contrasts a digital system's exterior and interior. The left half features a smooth, light blue surface with engineered indentations, resembling validator nodes or smart contract entry points. The right half reveals a translucent, darker blue interior, where white cloud-like structures, representing dynamic on-chain data processing and transaction throughput, swirl within a complex network architecture. A central dark aperture suggests an oracle or core execution environment, illustrating DLT protocol layers.

→Verifier-Side ZK

→Zero-Knowledge Proofs

→Extractable NIZK

Zero-Knowledge Proofs of Quantumness Secure Quantum Computing Verification

ZKPoQ formalizes quantum completeness and classical soundness with a verifier-side zero-knowledge argument, preventing classical verifiers from exploiting quantum provers' secrets.