On the Complexity of the Rank Syndrome Decoding Problem.

Gespeichert in:
Bibliographische Detailangaben
Titel: On the Complexity of the Rank Syndrome Decoding Problem.
Autoren: Gaborit, Philippe, Ruatta, Olivier, Schrek, Julien
Quelle: IEEE Transactions on Information Theory; Feb2016, Vol. 62 Issue 2, p1006-1019, 14p
Schlagwörter: DECODING algorithms, COMPLEXITY (Philosophy), COMPUTATIONAL complexity, ELECTRONIC linearization, POLYNOMIAL time algorithms
Abstract: In this paper, we propose two new generic attacks on the rank syndrome decoding (RSD) problem. Let C be a random [n,k] rank code over GF(q^m) and let y=x+e be a received word, such that x \in C and rank (e)=r . The first attack, the support attack, is combinatorial and permits to recover an error e of rank weight r operations on GF(q) . This new attack improves the exponent for the best generic attack for the RSD problem in the case n > m , by introducing the ratio m/n in the exponential coefficient of the previously best known attacks. The second attack, the annulator polynomial attack, is an algebraic attack based on the theory of q rather than in GF(q) as it is usually the case. We consider two approaches to solve the problem in this new setting. The linearization technique shows that if n \ge (k+1) (r+1)-1 the RSD problem can be solved in polynomial time. More generally, we prove that if , the RSD problem can be solved with an average complexity of O(r^3k^3q^r\lceil (((r+1)(k+1)-(n+1))/r) \rceil ) operations in the base field GF(q) . We also consider solving with Gröbner bases for which we discuss theoretical complexity, we also consider hybrid solving with Gröbner bases on practical parameters. As an example of application, we use our new attacks on all recent cryptosystems parameters, which repair the GPT cryptosystem, we break all examples of published proposed parameters, and some parameters are broken in less than 1 s in certain cases. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Information Theory is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Datenbank: Complementary Index
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edb&genre=article&issn=00189448&ISBN=&volume=62&issue=2&date=20160201&spage=1006&pages=1006-1019&title=IEEE Transactions on Information Theory&atitle=On%20the%20Complexity%20of%20the%20Rank%20Syndrome%20Decoding%20Problem.&aulast=Gaborit%2C%20Philippe&id=DOI:10.1109/TIT.2015.2511786
    Name: Full Text Finder
    Category: fullText
    Text: Full Text Finder
    Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif
    MouseOverText: Full Text Finder
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Gaborit%20P
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edb
DbLabel: Complementary Index
An: 112441480
RelevancyScore: 853
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 853.181579589844
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: On the Complexity of the Rank Syndrome Decoding Problem.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Gaborit%2C+Philippe%22">Gaborit, Philippe</searchLink><br /><searchLink fieldCode="AR" term="%22Ruatta%2C+Olivier%22">Ruatta, Olivier</searchLink><br /><searchLink fieldCode="AR" term="%22Schrek%2C+Julien%22">Schrek, Julien</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: IEEE Transactions on Information Theory; Feb2016, Vol. 62 Issue 2, p1006-1019, 14p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22DECODING+algorithms%22">DECODING algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22COMPLEXITY+%28Philosophy%29%22">COMPLEXITY (Philosophy)</searchLink><br /><searchLink fieldCode="DE" term="%22COMPUTATIONAL+complexity%22">COMPUTATIONAL complexity</searchLink><br /><searchLink fieldCode="DE" term="%22ELECTRONIC+linearization%22">ELECTRONIC linearization</searchLink><br /><searchLink fieldCode="DE" term="%22POLYNOMIAL+time+algorithms%22">POLYNOMIAL time algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this paper, we propose two new generic attacks on the rank syndrome decoding (RSD) problem. Let C be a random [n,k] rank code over GF(q^m) and let y=x+e be a received word, such that x \in C and rank (e)=r . The first attack, the support attack, is combinatorial and permits to recover an error e of rank weight r operations on GF(q) . This new attack improves the exponent for the best generic attack for the RSD problem in the case n > m , by introducing the ratio m/n in the exponential coefficient of the previously best known attacks. The second attack, the annulator polynomial attack, is an algebraic attack based on the theory of q rather than in GF(q) as it is usually the case. We consider two approaches to solve the problem in this new setting. The linearization technique shows that if n \ge (k+1) (r+1)-1 the RSD problem can be solved in polynomial time. More generally, we prove that if , the RSD problem can be solved with an average complexity of O(r^3k^3q^r\lceil (((r+1)(k+1)-(n+1))/r) \rceil ) operations in the base field GF(q) . We also consider solving with Gröbner bases for which we discuss theoretical complexity, we also consider hybrid solving with Gröbner bases on practical parameters. As an example of application, we use our new attacks on all recent cryptosystems parameters, which repair the GPT cryptosystem, we break all examples of published proposed parameters, and some parameters are broken in less than 1 s in certain cases. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Transactions on Information Theory is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=112441480
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/TIT.2015.2511786
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 1006
    Subjects:
      – SubjectFull: DECODING algorithms
        Type: general
      – SubjectFull: COMPLEXITY (Philosophy)
        Type: general
      – SubjectFull: COMPUTATIONAL complexity
        Type: general
      – SubjectFull: ELECTRONIC linearization
        Type: general
      – SubjectFull: POLYNOMIAL time algorithms
        Type: general
    Titles:
      – TitleFull: On the Complexity of the Rank Syndrome Decoding Problem.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gaborit, Philippe
      – PersonEntity:
          Name:
            NameFull: Ruatta, Olivier
      – PersonEntity:
          Name:
            NameFull: Schrek, Julien
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: Feb2016
              Type: published
              Y: 2016
          Identifiers:
            – Type: issn-print
              Value: 00189448
          Numbering:
            – Type: volume
              Value: 62
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: IEEE Transactions on Information Theory
              Type: main
ResultId 1