Lattice-based cryptography is a field of study in computer science and mathematics that utilizes mathematical structures known as lattices for cryptographic operations. These systems are considered resistant to attacks from both classical and quantum computers, making them a promising candidate for post-quantum cryptography. The security of these schemes relies on the computational difficulty of solving certain lattice problems. This area is fundamental to securing future digital communications.
Context
Lattice-based cryptography is frequently mentioned in discussions concerning the long-term security of blockchain networks and digital assets against potential future threats, particularly from quantum computing. Research and development efforts are focused on creating practical and efficient lattice-based encryption and signature schemes suitable for widespread adoption. The potential for these cryptographic primitives to safeguard sensitive data and transactions in the coming decades is a key driver of interest.
Quantifying the performance of NIST-standardized post-quantum signature schemes proves that long-term, quantum-resistant blockchain security is computationally viable.
The cryptographic foundation of decentralized systems must migrate from vulnerable ECC to lattice-based primitives to neutralize the existential quantum computing threat.
Researchers designed a novel lattice-based signature scheme, using SampleMat and trapdoor-less signing, to reduce post-quantum transaction size, securing blockchains against future quantum attacks.
The transition to lattice-based signature schemes like FALCON is vital to preemptively secure decentralized ledgers from future quantum computer attacks.
We generalize MPC-in-the-head to create post-quantum zero-knowledge arguments, securing verifiable computation against quantum superposition attacks using LWE.
A new Universally Composable Threshold FHE decryption protocol achieves high throughput via an offline-online structure, enabling real-time confidential computation.
This new cryptographic framework efficiently integrates Verifiable Computation with approximate Homomorphic Encryption, enabling trustless, private AI computation at scale.
The first lattice-based folding protocol enables recursive SNARKs to achieve post-quantum security while matching the performance of pre-quantum schemes.
This new cryptographic primitive enables provable correctness for post-quantum key exchange mechanisms, transforming un-auditable local operations into publicly verifiable proofs of secure shared secret derivation.
Introduces a quantum-resistant Identity-Based Encryption scheme allowing private data sharing on blockchains with secure, delegated decryption, enhancing future privacy.
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