Module-SIS Hardness → News → Incrypthos News

Module-SIS Hardness

Definition ∞ Module-SIS hardness refers to the computational difficulty of solving the Module Short Integer Solution problem, another mathematical problem central to lattice-based cryptography. The presumed hardness of Module-SIS is essential for the security guarantees of post-quantum cryptographic primitives. It forms a basis for cryptographic functions like hash functions and signature schemes resistant to quantum computing attacks. This hardness contributes to cryptographic resilience.
Context ∞ News regarding Module-SIS hardness typically appears in reports on quantum-resistant cryptography and the development of new security standards for digital communication and assets. The mathematical properties of Module-SIS are under continuous scrutiny by cryptographers seeking to validate the long-term security of these algorithms. Its application in constructing secure, efficient post-quantum systems is a key area of research. This work is vital for safeguarding future digital asset infrastructure from quantum threats.

A close-up view presents a sophisticated blockchain oracle node hardware module, featuring a prominent multi-layered lens assembly on the right, indicative of on-chain data acquisition for DeFi protocols. The device integrates a translucent blue data pipeline, suggesting efficient off-chain computation and thermal management for validator network operations. Robust silver-grey casing encases intricate internal structures, emphasizing hardware security module HSM principles and cryptographic primitive protection. This Web3 infrastructure component is designed for high-throughput smart contract execution within a distributed ledger technology DLT ecosystem, potentially supporting zero-knowledge proof ZKP attestations.

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Lantern Achieves Short, Post-Quantum Zero-Knowledge Proofs via Polynomial Product Systems

Lantern is a post-quantum ZKP protocol that uses polynomial product proofs to prove vector norms, making proofs 2-3X smaller for scalable, quantum-safe privacy.