Internal differential collision attacks on the reduced-round Grøstl-0 hash function View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-04-21

AUTHORS

Kota Ideguchi, Elmar Tischhauser, Bart Preneel

ABSTRACT

We analyze the Grøstl-0 hash function, that is the version of Grøstl submitted to the SHA-3 competition. This paper extends Peyrin’s internal differential strategy, that uses differential paths between the permutations P and Q of Grøstl-0 to construct distinguishers of the compression function. This results in collision attacks and semi-free-start collision attacks on the Grøstl-0 hash function and compression function with reduced rounds. Specifically, we show collision attacks on the Grøstl-0-256 hash function reduced to 5 and 6 out of 10 rounds with time complexities 248 and 2112 and on the Grøstl-0-512 hash function reduced to 6 out of 14 rounds with time complexity 2183. Furthermore, we demonstrate semi-free-start collision attacks on the Grøstl-0-256 compression function reduced to 8 rounds and the Grøstl-0-512 compression function reduced to 9 rounds. Finally, we show improved distinguishers for the Grøstl-0-256 permutations with reduced rounds. More... »

PAGES

251-271

References to SciGraph publications

  • 2009. The Rebound Attack: Cryptanalysis of Reduced Whirlpool and Grøstl in FAST SOFTWARE ENCRYPTION
  • 2010. Improved Differential Attacks for ECHO and Grøstl in ADVANCES IN CRYPTOLOGY – CRYPTO 2010
  • 2005. How to Break MD5 and Other Hash Functions in ADVANCES IN CRYPTOLOGY – EUROCRYPT 2005
  • 2011. Improved Collision Attacks on the Reduced-Round Grøstl Hash Function in INFORMATION SECURITY
  • 2007. Cryptanalysis of Grindahl in ADVANCES IN CRYPTOLOGY – ASIACRYPT 2007
  • 2011. Known and Chosen Key Differential Distinguishers for Block Ciphers in INFORMATION SECURITY AND CRYPTOLOGY - ICISC 2010
  • 2010. Super-Sbox Cryptanalysis: Improved Attacks for AES-Like Permutations in FAST SOFTWARE ENCRYPTION
  • <error retrieving object. in <ERROR RETRIEVING OBJECT
  • 2006. Understanding Two-Round Differentials in AES in SECURITY AND CRYPTOGRAPHY FOR NETWORKS
  • 2009. Improved Cryptanalysis of the Reduced Grøstl Compression Function, ECHO Permutation and AES Block Cipher in SELECTED AREAS IN CRYPTOGRAPHY
  • 2010. Non-full-active Super-Sbox Analysis: Applications to ECHO and Grøstl in ADVANCES IN CRYPTOLOGY - ASIACRYPT 2010
  • 2010. Rebound Attacks on the Reduced Grøstl Hash Function in TOPICS IN CRYPTOLOGY - CT-RSA 2010
  • 2009. Rebound Distinguishers: Results on the Full Whirlpool Compression Function in ADVANCES IN CRYPTOLOGY – ASIACRYPT 2009
  • 2005. Finding Collisions in the Full SHA-1 in ADVANCES IN CRYPTOLOGY – CRYPTO 2005
  • 2013-11-12. The Rebound Attack and Subspace Distinguishers: Application to Whirlpool in JOURNAL OF CRYPTOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10623-012-9674-6

    DOI

    http://dx.doi.org/10.1007/s10623-012-9674-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1028166533


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Systems Development Laboratory, Hitachi, LTD, Yoshida-cho 292, Totsuka, Yokohama, Kanagawa, Japan", 
              "id": "http://www.grid.ac/institutes/grid.417547.4", 
              "name": [
                "Systems Development Laboratory, Hitachi, LTD, Yoshida-cho 292, Totsuka, Yokohama, Kanagawa, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ideguchi", 
            "givenName": "Kota", 
            "id": "sg:person.011327550011.90", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011327550011.90"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Fund for Scientific Research, Flanders, Belgium", 
              "id": "http://www.grid.ac/institutes/grid.424470.1", 
              "name": [
                "ESAT-COSIC and IBBT, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001, Heverlee, Belgium", 
                "Fund for Scientific Research, Flanders, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tischhauser", 
            "givenName": "Elmar", 
            "id": "sg:person.011773174147.61", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011773174147.61"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "ESAT-COSIC and IBBT, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001, Heverlee, Belgium", 
              "id": "http://www.grid.ac/institutes/grid.5596.f", 
              "name": [
                "ESAT-COSIC and IBBT, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001, Heverlee, Belgium"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Preneel", 
            "givenName": "Bart", 
            "id": "sg:person.011115044357.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011115044357.39"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/11832072_6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002648715", 
              "https://doi.org/10.1007/11832072_6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11535218_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002819603", 
              "https://doi.org/10.1007/11535218_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-14623-7_20", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014932648", 
              "https://doi.org/10.1007/978-3-642-14623-7_20"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-662-04722-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052093804", 
              "https://doi.org/10.1007/978-3-662-04722-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-76900-2_34", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027379152", 
              "https://doi.org/10.1007/978-3-540-76900-2_34"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-18178-8_1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003846561", 
              "https://doi.org/10.1007/978-3-642-18178-8_1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-11925-5_24", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042102975", 
              "https://doi.org/10.1007/978-3-642-11925-5_24"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11426639_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043264875", 
              "https://doi.org/10.1007/11426639_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00145-013-9166-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041682800", 
              "https://doi.org/10.1007/s00145-013-9166-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-13858-4_21", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003313281", 
              "https://doi.org/10.1007/978-3-642-13858-4_21"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-03317-9_16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008871290", 
              "https://doi.org/10.1007/978-3-642-03317-9_16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-24209-0_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010581078", 
              "https://doi.org/10.1007/978-3-642-24209-0_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-05445-7_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028766519", 
              "https://doi.org/10.1007/978-3-642-05445-7_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-17373-8_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002094508", 
              "https://doi.org/10.1007/978-3-642-17373-8_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-10366-7_8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052635964", 
              "https://doi.org/10.1007/978-3-642-10366-7_8"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2012-04-21", 
        "datePublishedReg": "2012-04-21", 
        "description": "We analyze the Gr\u00f8stl-0 hash function, that is the version of Gr\u00f8stl submitted to the SHA-3 competition. This paper extends Peyrin\u2019s internal differential strategy, that uses differential paths between the permutations P and Q of Gr\u00f8stl-0 to construct distinguishers of the compression function. This results in collision attacks and semi-free-start collision attacks on the Gr\u00f8stl-0 hash function and compression function with reduced rounds. Specifically, we show collision attacks on the Gr\u00f8stl-0-256 hash function reduced to 5 and 6 out of 10 rounds with time complexities 248 and 2112 and on the Gr\u00f8stl-0-512 hash function reduced to 6 out of 14 rounds with time complexity 2183. Furthermore, we demonstrate semi-free-start collision attacks on the Gr\u00f8stl-0-256 compression function reduced to 8 rounds and the Gr\u00f8stl-0-512 compression function reduced to 9 rounds. Finally, we show improved distinguishers for the Gr\u00f8stl-0-256 permutations with reduced rounds.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10623-012-9674-6", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136552", 
            "issn": [
              "0925-1022", 
              "1573-7586"
            ], 
            "name": "Designs, Codes and Cryptography", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "70"
          }
        ], 
        "keywords": [
          "rounds", 
          "function", 
          "improved distinguishers", 
          "differential strategies", 
          "attacks", 
          "strategies", 
          "reduced rounds", 
          "start collision attack", 
          "version", 
          "SHA-3 competition", 
          "permutation P", 
          "compression function", 
          "collision attack", 
          "Gr\u00f8stl", 
          "competition", 
          "permutations", 
          "path", 
          "paper", 
          "differential path", 
          "distinguisher", 
          "hash function"
        ], 
        "name": "Internal differential collision attacks on the reduced-round Gr\u00f8stl-0 hash function", 
        "pagination": "251-271", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1028166533"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10623-012-9674-6"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10623-012-9674-6", 
          "https://app.dimensions.ai/details/publication/pub.1028166533"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-10-01T06:37", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_564.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10623-012-9674-6"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10623-012-9674-6'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10623-012-9674-6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10623-012-9674-6'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10623-012-9674-6'


     

    This table displays all metadata directly associated to this object as RDF triples.

    159 TRIPLES      21 PREDICATES      60 URIs      37 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10623-012-9674-6 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author N2505fbbb58da456ab509132e7eb72555
    4 schema:citation sg:pub.10.1007/11426639_2
    5 sg:pub.10.1007/11535218_2
    6 sg:pub.10.1007/11832072_6
    7 sg:pub.10.1007/978-3-540-76900-2_34
    8 sg:pub.10.1007/978-3-642-03317-9_16
    9 sg:pub.10.1007/978-3-642-05445-7_2
    10 sg:pub.10.1007/978-3-642-10366-7_8
    11 sg:pub.10.1007/978-3-642-11925-5_24
    12 sg:pub.10.1007/978-3-642-13858-4_21
    13 sg:pub.10.1007/978-3-642-14623-7_20
    14 sg:pub.10.1007/978-3-642-17373-8_3
    15 sg:pub.10.1007/978-3-642-18178-8_1
    16 sg:pub.10.1007/978-3-642-24209-0_3
    17 sg:pub.10.1007/978-3-662-04722-4
    18 sg:pub.10.1007/s00145-013-9166-5
    19 schema:datePublished 2012-04-21
    20 schema:datePublishedReg 2012-04-21
    21 schema:description We analyze the Grøstl-0 hash function, that is the version of Grøstl submitted to the SHA-3 competition. This paper extends Peyrin’s internal differential strategy, that uses differential paths between the permutations P and Q of Grøstl-0 to construct distinguishers of the compression function. This results in collision attacks and semi-free-start collision attacks on the Grøstl-0 hash function and compression function with reduced rounds. Specifically, we show collision attacks on the Grøstl-0-256 hash function reduced to 5 and 6 out of 10 rounds with time complexities 248 and 2112 and on the Grøstl-0-512 hash function reduced to 6 out of 14 rounds with time complexity 2183. Furthermore, we demonstrate semi-free-start collision attacks on the Grøstl-0-256 compression function reduced to 8 rounds and the Grøstl-0-512 compression function reduced to 9 rounds. Finally, we show improved distinguishers for the Grøstl-0-256 permutations with reduced rounds.
    22 schema:genre article
    23 schema:isAccessibleForFree false
    24 schema:isPartOf N65160262394f4c039a3b8ebf63e2428b
    25 N8a0531b783bc45618fb85f09f14073be
    26 sg:journal.1136552
    27 schema:keywords Grøstl
    28 SHA-3 competition
    29 attacks
    30 collision attack
    31 competition
    32 compression function
    33 differential path
    34 differential strategies
    35 distinguisher
    36 function
    37 hash function
    38 improved distinguishers
    39 paper
    40 path
    41 permutation P
    42 permutations
    43 reduced rounds
    44 rounds
    45 start collision attack
    46 strategies
    47 version
    48 schema:name Internal differential collision attacks on the reduced-round Grøstl-0 hash function
    49 schema:pagination 251-271
    50 schema:productId N79bd956635364d33870ffb3adbaafcf7
    51 N97470f66ef4f44fb8346158a3de91011
    52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028166533
    53 https://doi.org/10.1007/s10623-012-9674-6
    54 schema:sdDatePublished 2022-10-01T06:37
    55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    56 schema:sdPublisher Nf482e1c74ce341c898008defaef2e3ca
    57 schema:url https://doi.org/10.1007/s10623-012-9674-6
    58 sgo:license sg:explorer/license/
    59 sgo:sdDataset articles
    60 rdf:type schema:ScholarlyArticle
    61 N02fe88acd66647e8b13fc6f6154df0f7 rdf:first sg:person.011773174147.61
    62 rdf:rest Nac114c7a800041178179909e73d5f571
    63 N2505fbbb58da456ab509132e7eb72555 rdf:first sg:person.011327550011.90
    64 rdf:rest N02fe88acd66647e8b13fc6f6154df0f7
    65 N65160262394f4c039a3b8ebf63e2428b schema:volumeNumber 70
    66 rdf:type schema:PublicationVolume
    67 N79bd956635364d33870ffb3adbaafcf7 schema:name dimensions_id
    68 schema:value pub.1028166533
    69 rdf:type schema:PropertyValue
    70 N8a0531b783bc45618fb85f09f14073be schema:issueNumber 3
    71 rdf:type schema:PublicationIssue
    72 N97470f66ef4f44fb8346158a3de91011 schema:name doi
    73 schema:value 10.1007/s10623-012-9674-6
    74 rdf:type schema:PropertyValue
    75 Nac114c7a800041178179909e73d5f571 rdf:first sg:person.011115044357.39
    76 rdf:rest rdf:nil
    77 Nf482e1c74ce341c898008defaef2e3ca schema:name Springer Nature - SN SciGraph project
    78 rdf:type schema:Organization
    79 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    80 schema:name Information and Computing Sciences
    81 rdf:type schema:DefinedTerm
    82 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    83 schema:name Artificial Intelligence and Image Processing
    84 rdf:type schema:DefinedTerm
    85 sg:journal.1136552 schema:issn 0925-1022
    86 1573-7586
    87 schema:name Designs, Codes and Cryptography
    88 schema:publisher Springer Nature
    89 rdf:type schema:Periodical
    90 sg:person.011115044357.39 schema:affiliation grid-institutes:grid.5596.f
    91 schema:familyName Preneel
    92 schema:givenName Bart
    93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011115044357.39
    94 rdf:type schema:Person
    95 sg:person.011327550011.90 schema:affiliation grid-institutes:grid.417547.4
    96 schema:familyName Ideguchi
    97 schema:givenName Kota
    98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011327550011.90
    99 rdf:type schema:Person
    100 sg:person.011773174147.61 schema:affiliation grid-institutes:grid.424470.1
    101 schema:familyName Tischhauser
    102 schema:givenName Elmar
    103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011773174147.61
    104 rdf:type schema:Person
    105 sg:pub.10.1007/11426639_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043264875
    106 https://doi.org/10.1007/11426639_2
    107 rdf:type schema:CreativeWork
    108 sg:pub.10.1007/11535218_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002819603
    109 https://doi.org/10.1007/11535218_2
    110 rdf:type schema:CreativeWork
    111 sg:pub.10.1007/11832072_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002648715
    112 https://doi.org/10.1007/11832072_6
    113 rdf:type schema:CreativeWork
    114 sg:pub.10.1007/978-3-540-76900-2_34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027379152
    115 https://doi.org/10.1007/978-3-540-76900-2_34
    116 rdf:type schema:CreativeWork
    117 sg:pub.10.1007/978-3-642-03317-9_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008871290
    118 https://doi.org/10.1007/978-3-642-03317-9_16
    119 rdf:type schema:CreativeWork
    120 sg:pub.10.1007/978-3-642-05445-7_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028766519
    121 https://doi.org/10.1007/978-3-642-05445-7_2
    122 rdf:type schema:CreativeWork
    123 sg:pub.10.1007/978-3-642-10366-7_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052635964
    124 https://doi.org/10.1007/978-3-642-10366-7_8
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1007/978-3-642-11925-5_24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042102975
    127 https://doi.org/10.1007/978-3-642-11925-5_24
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1007/978-3-642-13858-4_21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003313281
    130 https://doi.org/10.1007/978-3-642-13858-4_21
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1007/978-3-642-14623-7_20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014932648
    133 https://doi.org/10.1007/978-3-642-14623-7_20
    134 rdf:type schema:CreativeWork
    135 sg:pub.10.1007/978-3-642-17373-8_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002094508
    136 https://doi.org/10.1007/978-3-642-17373-8_3
    137 rdf:type schema:CreativeWork
    138 sg:pub.10.1007/978-3-642-18178-8_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003846561
    139 https://doi.org/10.1007/978-3-642-18178-8_1
    140 rdf:type schema:CreativeWork
    141 sg:pub.10.1007/978-3-642-24209-0_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010581078
    142 https://doi.org/10.1007/978-3-642-24209-0_3
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1007/978-3-662-04722-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052093804
    145 https://doi.org/10.1007/978-3-662-04722-4
    146 rdf:type schema:CreativeWork
    147 sg:pub.10.1007/s00145-013-9166-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041682800
    148 https://doi.org/10.1007/s00145-013-9166-5
    149 rdf:type schema:CreativeWork
    150 grid-institutes:grid.417547.4 schema:alternateName Systems Development Laboratory, Hitachi, LTD, Yoshida-cho 292, Totsuka, Yokohama, Kanagawa, Japan
    151 schema:name Systems Development Laboratory, Hitachi, LTD, Yoshida-cho 292, Totsuka, Yokohama, Kanagawa, Japan
    152 rdf:type schema:Organization
    153 grid-institutes:grid.424470.1 schema:alternateName Fund for Scientific Research, Flanders, Belgium
    154 schema:name ESAT-COSIC and IBBT, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001, Heverlee, Belgium
    155 Fund for Scientific Research, Flanders, Belgium
    156 rdf:type schema:Organization
    157 grid-institutes:grid.5596.f schema:alternateName ESAT-COSIC and IBBT, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001, Heverlee, Belgium
    158 schema:name ESAT-COSIC and IBBT, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001, Heverlee, Belgium
    159 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...