Generated by GPT-5-mini| Ring-LWE | |
|---|---|
| Name | Ring-LWE |
| Field | Cryptography |
| Introduced | 2010 |
| Authors | Oded Regev; Chris Peikert |
| Related | Learning with Errors; lattice-based cryptography; homomorphic encryption |
Ring-LWE
Ring-LWE is a computational problem central to post-quantum cryptography that adapts the Learning with Errors framework to algebraic number rings. It underpins many modern lattice-based proposals and connects to foundational work by Oded Regev, Chris Peikert, Daniele Micciancio, Phong Q. Nguyen, Vadim Lyubashevsky, and researchers from institutions such as Massachusetts Institute of Technology, IBM Research, Microsoft Research, Google Research, and University of California, Berkeley. Ring-LWE attracts attention from standards bodies including the National Institute of Standards and Technology, companies like Amazon Web Services, and projects such as the Post-Quantum Cryptography Standardization process.
Ring-LWE emerged from efforts to make lattice problems more efficient and algebraically structured, building on earlier lattice foundations from Ajtai, Alexander A. Klyachko, and work at Centro di Ricerca Matematica Ennio De Giorgi. It relates algebraic number theory concepts taught at École Normale Supérieure, techniques used by cryptographers at University of Waterloo, and complexity-theoretic perspectives associated with scholars at Princeton University. Interest in Ring-LWE grew after demonstrations by teams at IBM Research and Microsoft Research that it supports schemes competitive with classical proposals from RSA Security and RSA Conference era cryptography. Early expositions were circulated through venues such as the International Association for Cryptologic Research conferences like CRYPTO and EUROCRYPT.
Formally Ring-LWE is stated over a quotient of a polynomial ring associated to a number field used in algebraic number theory courses at institutions like Cambridge University and University of Oxford. The formulation uses concepts from Galois theory as developed by researchers at Harvard University and the University of Chicago; ring structure and norm maps draw on material from departments at Stanford University and Columbia University. Parameters are chosen to reflect hardness results influenced by reductions linked to problems studied at Simons Institute workshops and seminars at Institute for Advanced Study. Typical constructions reference cyclotomic fields used in work by teams at Technion – Israel Institute of Technology and École Polytechnique Fédérale de Lausanne, and they require careful choice of modulus and error distributions as discussed in seminars at Cornell University and Yale University.
Security proofs for Ring-LWE connect worst-case lattice problems on ideal lattices to average-case instances, following paradigms introduced at IBM Research and by scholars at Brown University. Reductions relate to shortest vector problems in ideal lattices examined by groups at University of Michigan and University of California, San Diego. Quantum reductions were explored in collaborations involving University of Toronto and Perimeter Institute, while classical reductions appeared in work from Duke University and Rensselaer Polytechnic Institute. Security analyses reference attacks studied by teams at Georgia Institute of Technology and University of Maryland, and evaluations considered at NIST workshops and ENCRYPT forums.
Ring-LWE has been instantiated in public-key encryption, key exchange, digital signatures, and fully homomorphic encryption proposals. Notable schemes were developed by researchers affiliated with Google Research's New Hope project, implementations by Microsoft Research for Simple Encrypted Arithmetic Library, lattice signature schemes were advanced at National University of Singapore and University of Illinois Urbana-Champaign, and homomorphic systems trace lineage to innovations at IBM Research. Standardization efforts involve contributors from IETF drafts, submissions to NIST and collaborations with industry partners such as Intel Corporation and Qualcomm. Security proofs cite comparative analyses from conferences like ACM CCS and IEEE S&P.
Practical work on Ring-LWE involves sampling algorithms, key generation, and optimized polynomial arithmetic using number-theoretic transform techniques popularized in software from GNU projects and demonstrated in toolkits at MITRE Corporation. Implementations and side-channel analyses were published by teams at University of Cambridge and ETH Zurich, with optimizations supported by compilers from LLVM and microarchitecture studies involving ARM Holdings. Benchmarks appear in repositories maintained by research groups at University of Pennsylvania and University of California, Santa Barbara, and hardware accelerators have been prototyped at facilities sponsored by DARPA and European Commission projects.
Ring-LWE underpins secure messaging, transport-layer encryption, and post-quantum VPN proposals trialed by organizations such as OpenSSL Project contributors and companies like Cloudflare. National and international standardization activities engage stakeholders including NIST, the Internet Engineering Task Force, and consortia of vendors such as The Linux Foundation and Trusted Computing Group. Use cases extend to privacy-preserving computation studied at Carnegie Mellon University and secure multiparty computation projects from University College London.
Active research includes tightened concrete security estimates pursued at Weizmann Institute of Science and failures modes explored at SRI International, algebraic attacks investigated by teams at University of Bonn and University of Sydney, and quantum algorithm implications studied at University of Waterloo and University of Cambridge. Further directions encompass implementation portability examined by researchers at INCITS, parameter selection debated in forums at NIST workshops, and cross-disciplinary work involving cryptographers at ETH Zurich and applied mathematicians at Institut des Hautes Études Scientifiques.
Category:Post-quantum cryptographyCategory:Lattice-based cryptography