{"title":"重新审视代数结构的 LWE","authors":"Chris Peikert, Zachary Pepin","doi":"10.1007/s00145-024-09508-3","DOIUrl":null,"url":null,"abstract":"<p>In recent years, there has been a proliferation of <i>algebraically structured</i> Learning With Errors (LWE) variants, including Ring-LWE, Module-LWE, Polynomial-LWE, Order-LWE, and Middle-Product LWE, and a web of reductions to support their hardness, both among these problems themselves and from related worst-case problems on structured lattices. However, these reductions are often difficult to interpret and use, due to the complexity of their parameters and analysis, and most especially their (frequently large) blowup and distortion of the error distributions. In this paper, we unify and simplify this line of work. First, we give a general framework that encompasses <i>all</i> proposed LWE variants (over commutative base rings) and in particular unifies all prior “algebraic” LWE variants defined over number fields. We then use this framework to give much simpler, more general, and tighter reductions from Ring-LWE to other algebraic LWE variants, including Module-LWE, Order-LWE, and Middle-Product LWE. In particular, all of our reductions have easy-to-analyze and frequently small error expansion; in most cases, they even leave the error unchanged. A main message of our work is that it is straightforward to use the hardness of the original Ring-LWE problem as a foundation for the hardness of all other algebraic LWE problems defined over number fields, via simple and rather tight reductions.</p>","PeriodicalId":54849,"journal":{"name":"Journal of Cryptology","volume":"162 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Algebraically Structured LWE, Revisited\",\"authors\":\"Chris Peikert, Zachary Pepin\",\"doi\":\"10.1007/s00145-024-09508-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In recent years, there has been a proliferation of <i>algebraically structured</i> Learning With Errors (LWE) variants, including Ring-LWE, Module-LWE, Polynomial-LWE, Order-LWE, and Middle-Product LWE, and a web of reductions to support their hardness, both among these problems themselves and from related worst-case problems on structured lattices. However, these reductions are often difficult to interpret and use, due to the complexity of their parameters and analysis, and most especially their (frequently large) blowup and distortion of the error distributions. In this paper, we unify and simplify this line of work. First, we give a general framework that encompasses <i>all</i> proposed LWE variants (over commutative base rings) and in particular unifies all prior “algebraic” LWE variants defined over number fields. We then use this framework to give much simpler, more general, and tighter reductions from Ring-LWE to other algebraic LWE variants, including Module-LWE, Order-LWE, and Middle-Product LWE. In particular, all of our reductions have easy-to-analyze and frequently small error expansion; in most cases, they even leave the error unchanged. A main message of our work is that it is straightforward to use the hardness of the original Ring-LWE problem as a foundation for the hardness of all other algebraic LWE problems defined over number fields, via simple and rather tight reductions.</p>\",\"PeriodicalId\":54849,\"journal\":{\"name\":\"Journal of Cryptology\",\"volume\":\"162 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cryptology\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s00145-024-09508-3\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cryptology","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s00145-024-09508-3","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
In recent years, there has been a proliferation of algebraically structured Learning With Errors (LWE) variants, including Ring-LWE, Module-LWE, Polynomial-LWE, Order-LWE, and Middle-Product LWE, and a web of reductions to support their hardness, both among these problems themselves and from related worst-case problems on structured lattices. However, these reductions are often difficult to interpret and use, due to the complexity of their parameters and analysis, and most especially their (frequently large) blowup and distortion of the error distributions. In this paper, we unify and simplify this line of work. First, we give a general framework that encompasses all proposed LWE variants (over commutative base rings) and in particular unifies all prior “algebraic” LWE variants defined over number fields. We then use this framework to give much simpler, more general, and tighter reductions from Ring-LWE to other algebraic LWE variants, including Module-LWE, Order-LWE, and Middle-Product LWE. In particular, all of our reductions have easy-to-analyze and frequently small error expansion; in most cases, they even leave the error unchanged. A main message of our work is that it is straightforward to use the hardness of the original Ring-LWE problem as a foundation for the hardness of all other algebraic LWE problems defined over number fields, via simple and rather tight reductions.
期刊介绍:
The Journal of Cryptology is a forum for original results in all areas of modern information security. Both cryptography and cryptanalysis are covered, including information theoretic and complexity theoretic perspectives as well as implementation, application, and standards issues. Coverage includes such topics as public key and conventional algorithms and their implementations, cryptanalytic attacks, pseudo-random sequences, computational number theory, cryptographic protocols, untraceability, privacy, authentication, key management and quantum cryptography. In addition to full-length technical, survey, and historical articles, the journal publishes short notes.