MASHA – Low Cost Authentication with a New Stream Cipher View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Shinsaku Kiyomoto , Matt Henricksen , Wun-She Yap , Yuto Nakano , Kazuhide Fukushima

ABSTRACT

In this paper, we propose a new high-speed stream cipher called MASHA (Message Authenticated Streaming-encryption Heterogeneous Algorithm) with integrated MAC functionality. It simultaneously encrypts plaintext and produces an authentication tag that assures data and origin integrity. On the Intel Core 2, its speed is 11.92 cycles/byte, which is faster than the time it takes to encrypt and authenticate using well-known primitives SNOW 2.0 and SHA-256 in conjunction. We show that MASHA is secure against all known attacks. More... »

PAGES

63-78

References to SciGraph publications

  • 2002. The Design of Rijndael, AES — The Advanced Encryption Standard in NONE
  • 2005. Resistance of SNOW 2.0 Against Algebraic Attacks in TOPICS IN CRYPTOLOGY – CT-RSA 2005
  • 2008. Algebraic Description and Simultaneous Linear Approximations of Addition in Snow 2.0. in INFORMATION AND COMMUNICATIONS SECURITY
  • 2008. Specification for NLSv2 in NEW STREAM CIPHER DESIGNS
  • 2008. The Grain Family of Stream Ciphers in NEW STREAM CIPHER DESIGNS
  • 2012. The Hummingbird-2 Lightweight Authenticated Encryption Algorithm in RFID. SECURITY AND PRIVACY
  • 2007. Differential-Linear Attacks Against the Stream Cipher Phelix in FAST SOFTWARE ENCRYPTION
  • 2006. Improved Linear Distinguishers for SNOW 2.0 in FAST SOFTWARE ENCRYPTION
  • 2005. Algebraic Attacks on Combiners with Memory and Several Outputs in INFORMATION SECURITY AND CRYPTOLOGY – ICISC 2004
  • 2003-02-17. A New Version of the Stream Cipher SNOW in SELECTED AREAS IN CRYPTOGRAPHY
  • Book

    TITLE

    Information Security

    ISBN

    978-3-642-24860-3
    978-3-642-24861-0

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-24861-0_5

    DOI

    http://dx.doi.org/10.1007/978-3-642-24861-0_5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011660865


    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/2008/0804", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Data Format", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "KDDI R&D Laboratories (Japan)", 
              "id": "https://www.grid.ac/institutes/grid.450318.b", 
              "name": [
                "KDDI R & D Laboratories Inc., 2-1-15 Ohara, Fujimino-shi\u00a0Saitama, 356-8502, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kiyomoto", 
            "givenName": "Shinsaku", 
            "id": "sg:person.011150303457.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011150303457.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute for Infocomm Research", 
              "id": "https://www.grid.ac/institutes/grid.418705.f", 
              "name": [
                "Institute for Infocomm Research, 1 Fusionopolis Way #21-01, Connexis (South Tower), Singapore, 138632"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Henricksen", 
            "givenName": "Matt", 
            "id": "sg:person.07741220255.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07741220255.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute for Infocomm Research", 
              "id": "https://www.grid.ac/institutes/grid.418705.f", 
              "name": [
                "Institute for Infocomm Research, 1 Fusionopolis Way #21-01, Connexis (South Tower), Singapore, 138632"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yap", 
            "givenName": "Wun-She", 
            "id": "sg:person.012115233611.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012115233611.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "KDDI R&D Laboratories (Japan)", 
              "id": "https://www.grid.ac/institutes/grid.450318.b", 
              "name": [
                "KDDI R & D Laboratories Inc., 2-1-15 Ohara, Fujimino-shi\u00a0Saitama, 356-8502, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nakano", 
            "givenName": "Yuto", 
            "id": "sg:person.011717740533.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011717740533.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "KDDI R&D Laboratories (Japan)", 
              "id": "https://www.grid.ac/institutes/grid.450318.b", 
              "name": [
                "KDDI R & D Laboratories Inc., 2-1-15 Ohara, Fujimino-shi\u00a0Saitama, 356-8502, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fukushima", 
            "givenName": "Kazuhide", 
            "id": "sg:person.010456056627.85", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010456056627.85"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/11496618_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018022168", 
              "https://doi.org/10.1007/11496618_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11496618_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018022168", 
              "https://doi.org/10.1007/11496618_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11799313_10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021327215", 
              "https://doi.org/10.1007/11799313_10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11799313_10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021327215", 
              "https://doi.org/10.1007/11799313_10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-30574-3_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021412117", 
              "https://doi.org/10.1007/978-3-540-30574-3_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-30574-3_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021412117", 
              "https://doi.org/10.1007/978-3-540-30574-3_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/937527.937529", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021761157"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-68351-3_6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025318942", 
              "https://doi.org/10.1007/978-3-540-68351-3_6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-74619-5_6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025692027", 
              "https://doi.org/10.1007/978-3-540-74619-5_6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-74619-5_6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025692027", 
              "https://doi.org/10.1007/978-3-540-74619-5_6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-68351-3_14", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027288622", 
              "https://doi.org/10.1007/978-3-540-68351-3_14"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-88625-9_22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029308177", 
              "https://doi.org/10.1007/978-3-540-88625-9_22"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-88625-9_22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029308177", 
              "https://doi.org/10.1007/978-3-540-88625-9_22"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-25286-0_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032149585", 
              "https://doi.org/10.1007/978-3-642-25286-0_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-36492-7_5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034179534", 
              "https://doi.org/10.1007/3-540-36492-7_5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-36492-7_5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034179534", 
              "https://doi.org/10.1007/3-540-36492-7_5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1052093804", 
            "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.10.1007/978-3-662-04722-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052093804", 
              "https://doi.org/10.1007/978-3-662-04722-4"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2011", 
        "datePublishedReg": "2011-01-01", 
        "description": "In this paper, we propose a new high-speed stream cipher called MASHA (Message Authenticated Streaming-encryption Heterogeneous Algorithm) with integrated MAC functionality. It simultaneously encrypts plaintext and produces an authentication tag that assures data and origin integrity. On the Intel Core 2, its speed is 11.92 cycles/byte, which is faster than the time it takes to encrypt and authenticate using well-known primitives SNOW 2.0 and SHA-256 in conjunction. We show that MASHA is secure against all known attacks.", 
        "editor": [
          {
            "familyName": "Lai", 
            "givenName": "Xuejia", 
            "type": "Person"
          }, 
          {
            "familyName": "Zhou", 
            "givenName": "Jianying", 
            "type": "Person"
          }, 
          {
            "familyName": "Li", 
            "givenName": "Hui", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-642-24861-0_5", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-642-24860-3", 
            "978-3-642-24861-0"
          ], 
          "name": "Information Security", 
          "type": "Book"
        }, 
        "name": "MASHA \u2013 Low Cost Authentication with a New Stream Cipher", 
        "pagination": "63-78", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-642-24861-0_5"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "378ee1068dd326a07819b9d8becb0d45e441eb28278fe1f412dd87ec48909d3a"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1011660865"
            ]
          }
        ], 
        "publisher": {
          "location": "Berlin, Heidelberg", 
          "name": "Springer Berlin Heidelberg", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-642-24861-0_5", 
          "https://app.dimensions.ai/details/publication/pub.1011660865"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T19:07", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000250.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-642-24861-0_5"
      }
    ]
     

    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.10.1007/978-3-642-24861-0_5'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-24861-0_5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-24861-0_5'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-24861-0_5'


     

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

    151 TRIPLES      23 PREDICATES      39 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-642-24861-0_5 schema:about anzsrc-for:08
    2 anzsrc-for:0804
    3 schema:author N45e0db9c0a184a9a9740a2d7af8d1717
    4 schema:citation sg:pub.10.1007/11496618_3
    5 sg:pub.10.1007/11799313_10
    6 sg:pub.10.1007/3-540-36492-7_5
    7 sg:pub.10.1007/978-3-540-30574-3_3
    8 sg:pub.10.1007/978-3-540-68351-3_14
    9 sg:pub.10.1007/978-3-540-68351-3_6
    10 sg:pub.10.1007/978-3-540-74619-5_6
    11 sg:pub.10.1007/978-3-540-88625-9_22
    12 sg:pub.10.1007/978-3-642-25286-0_2
    13 sg:pub.10.1007/978-3-662-04722-4
    14 https://app.dimensions.ai/details/publication/pub.1052093804
    15 https://doi.org/10.1145/937527.937529
    16 schema:datePublished 2011
    17 schema:datePublishedReg 2011-01-01
    18 schema:description In this paper, we propose a new high-speed stream cipher called MASHA (Message Authenticated Streaming-encryption Heterogeneous Algorithm) with integrated MAC functionality. It simultaneously encrypts plaintext and produces an authentication tag that assures data and origin integrity. On the Intel Core 2, its speed is 11.92 cycles/byte, which is faster than the time it takes to encrypt and authenticate using well-known primitives SNOW 2.0 and SHA-256 in conjunction. We show that MASHA is secure against all known attacks.
    19 schema:editor Ne53964fb19d7439d95223cf91abb3775
    20 schema:genre chapter
    21 schema:inLanguage en
    22 schema:isAccessibleForFree false
    23 schema:isPartOf Na4a21ac0248b40308be63f287f6d74ee
    24 schema:name MASHA – Low Cost Authentication with a New Stream Cipher
    25 schema:pagination 63-78
    26 schema:productId N1f09d16db4f04c44babe6531df7e481c
    27 N328704456ba04655a81ec8beea882fdf
    28 Nb8953ae9382449009054c0fbb5fa4ca8
    29 schema:publisher N9b99c14e780d4578b654064e1d5a2e1b
    30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011660865
    31 https://doi.org/10.1007/978-3-642-24861-0_5
    32 schema:sdDatePublished 2019-04-15T19:07
    33 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    34 schema:sdPublisher N38d0aae557434d0583f520ec1c1bb9a0
    35 schema:url http://link.springer.com/10.1007/978-3-642-24861-0_5
    36 sgo:license sg:explorer/license/
    37 sgo:sdDataset chapters
    38 rdf:type schema:Chapter
    39 N064eaf2f67594b84b025c5441159ec7a rdf:first sg:person.07741220255.37
    40 rdf:rest N9dc480353f994170b606954ecdec4a8d
    41 N1f09d16db4f04c44babe6531df7e481c schema:name doi
    42 schema:value 10.1007/978-3-642-24861-0_5
    43 rdf:type schema:PropertyValue
    44 N328704456ba04655a81ec8beea882fdf schema:name dimensions_id
    45 schema:value pub.1011660865
    46 rdf:type schema:PropertyValue
    47 N38d0aae557434d0583f520ec1c1bb9a0 schema:name Springer Nature - SN SciGraph project
    48 rdf:type schema:Organization
    49 N45e0db9c0a184a9a9740a2d7af8d1717 rdf:first sg:person.011150303457.89
    50 rdf:rest N064eaf2f67594b84b025c5441159ec7a
    51 N683c5b79a1a1424ab00ff40e76af1350 rdf:first sg:person.011717740533.39
    52 rdf:rest Nd450753aa2a0412cb60aaf02a9eb836a
    53 N9b99c14e780d4578b654064e1d5a2e1b schema:location Berlin, Heidelberg
    54 schema:name Springer Berlin Heidelberg
    55 rdf:type schema:Organisation
    56 N9dc480353f994170b606954ecdec4a8d rdf:first sg:person.012115233611.38
    57 rdf:rest N683c5b79a1a1424ab00ff40e76af1350
    58 Na4a21ac0248b40308be63f287f6d74ee schema:isbn 978-3-642-24860-3
    59 978-3-642-24861-0
    60 schema:name Information Security
    61 rdf:type schema:Book
    62 Na9e017b7c757466392e84bd054aa5a7d schema:familyName Li
    63 schema:givenName Hui
    64 rdf:type schema:Person
    65 Nb0523a5a3b0541dc9aeb336e20934c5a rdf:first Na9e017b7c757466392e84bd054aa5a7d
    66 rdf:rest rdf:nil
    67 Nb232c55d8ff5488d9e0af8b115c3fc2d schema:familyName Lai
    68 schema:givenName Xuejia
    69 rdf:type schema:Person
    70 Nb8953ae9382449009054c0fbb5fa4ca8 schema:name readcube_id
    71 schema:value 378ee1068dd326a07819b9d8becb0d45e441eb28278fe1f412dd87ec48909d3a
    72 rdf:type schema:PropertyValue
    73 Nd450753aa2a0412cb60aaf02a9eb836a rdf:first sg:person.010456056627.85
    74 rdf:rest rdf:nil
    75 Ne14bc38a1e9a4afca04bd6f5f10a4a50 rdf:first Ne19869c72b8b4efeac0288ef74087b36
    76 rdf:rest Nb0523a5a3b0541dc9aeb336e20934c5a
    77 Ne19869c72b8b4efeac0288ef74087b36 schema:familyName Zhou
    78 schema:givenName Jianying
    79 rdf:type schema:Person
    80 Ne53964fb19d7439d95223cf91abb3775 rdf:first Nb232c55d8ff5488d9e0af8b115c3fc2d
    81 rdf:rest Ne14bc38a1e9a4afca04bd6f5f10a4a50
    82 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    83 schema:name Information and Computing Sciences
    84 rdf:type schema:DefinedTerm
    85 anzsrc-for:0804 schema:inDefinedTermSet anzsrc-for:
    86 schema:name Data Format
    87 rdf:type schema:DefinedTerm
    88 sg:person.010456056627.85 schema:affiliation https://www.grid.ac/institutes/grid.450318.b
    89 schema:familyName Fukushima
    90 schema:givenName Kazuhide
    91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010456056627.85
    92 rdf:type schema:Person
    93 sg:person.011150303457.89 schema:affiliation https://www.grid.ac/institutes/grid.450318.b
    94 schema:familyName Kiyomoto
    95 schema:givenName Shinsaku
    96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011150303457.89
    97 rdf:type schema:Person
    98 sg:person.011717740533.39 schema:affiliation https://www.grid.ac/institutes/grid.450318.b
    99 schema:familyName Nakano
    100 schema:givenName Yuto
    101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011717740533.39
    102 rdf:type schema:Person
    103 sg:person.012115233611.38 schema:affiliation https://www.grid.ac/institutes/grid.418705.f
    104 schema:familyName Yap
    105 schema:givenName Wun-She
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012115233611.38
    107 rdf:type schema:Person
    108 sg:person.07741220255.37 schema:affiliation https://www.grid.ac/institutes/grid.418705.f
    109 schema:familyName Henricksen
    110 schema:givenName Matt
    111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07741220255.37
    112 rdf:type schema:Person
    113 sg:pub.10.1007/11496618_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018022168
    114 https://doi.org/10.1007/11496618_3
    115 rdf:type schema:CreativeWork
    116 sg:pub.10.1007/11799313_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021327215
    117 https://doi.org/10.1007/11799313_10
    118 rdf:type schema:CreativeWork
    119 sg:pub.10.1007/3-540-36492-7_5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034179534
    120 https://doi.org/10.1007/3-540-36492-7_5
    121 rdf:type schema:CreativeWork
    122 sg:pub.10.1007/978-3-540-30574-3_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021412117
    123 https://doi.org/10.1007/978-3-540-30574-3_3
    124 rdf:type schema:CreativeWork
    125 sg:pub.10.1007/978-3-540-68351-3_14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027288622
    126 https://doi.org/10.1007/978-3-540-68351-3_14
    127 rdf:type schema:CreativeWork
    128 sg:pub.10.1007/978-3-540-68351-3_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025318942
    129 https://doi.org/10.1007/978-3-540-68351-3_6
    130 rdf:type schema:CreativeWork
    131 sg:pub.10.1007/978-3-540-74619-5_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025692027
    132 https://doi.org/10.1007/978-3-540-74619-5_6
    133 rdf:type schema:CreativeWork
    134 sg:pub.10.1007/978-3-540-88625-9_22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029308177
    135 https://doi.org/10.1007/978-3-540-88625-9_22
    136 rdf:type schema:CreativeWork
    137 sg:pub.10.1007/978-3-642-25286-0_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032149585
    138 https://doi.org/10.1007/978-3-642-25286-0_2
    139 rdf:type schema:CreativeWork
    140 sg:pub.10.1007/978-3-662-04722-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052093804
    141 https://doi.org/10.1007/978-3-662-04722-4
    142 rdf:type schema:CreativeWork
    143 https://app.dimensions.ai/details/publication/pub.1052093804 schema:CreativeWork
    144 https://doi.org/10.1145/937527.937529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021761157
    145 rdf:type schema:CreativeWork
    146 https://www.grid.ac/institutes/grid.418705.f schema:alternateName Institute for Infocomm Research
    147 schema:name Institute for Infocomm Research, 1 Fusionopolis Way #21-01, Connexis (South Tower), Singapore, 138632
    148 rdf:type schema:Organization
    149 https://www.grid.ac/institutes/grid.450318.b schema:alternateName KDDI R&D Laboratories (Japan)
    150 schema:name KDDI R & D Laboratories Inc., 2-1-15 Ohara, Fujimino-shi Saitama, 356-8502, Japan
    151 rdf:type schema:Organization
     




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


    ...