Parallel Implementations of SIMON and SPECK, Revisited View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Taehwan Park , Hwajeong Seo , Garam Lee , Al-Amin Khandaker , Yasuyuki Nogami , Howon Kim

ABSTRACT

In this paper, we revisited the parallel implementation of SIMON and SPECK block ciphers. The performances of SIMON and SPECK are significantly improved by using ARM NEON SIMD (Single Instruction Multiple Data) parallel computing and OpenMP SIMT (Single Instruction Multiple Thread). We optimized the implementation on ARM NEON architecture. For optimized NEON, we reduced the number of registers for round key and increased the number of registers for plaintexts. Furthermore, we proposed the efficient forward and backward alignment methods. Finally, we maximize the performance by using SIMT (Single Instruction Multiple Threads). In the case of performance of proposed methods and proposed methods with SIMT, SIMON 128/128 encryption within 32.4, 14.3 cycles/byte, SIMON 128/192 encryption within 30.1, 15.9 cycles/byte, SIMON 128/256 encryption within 32.4, 16.9 cycles/byte, SPECK 128/128 encryption within 9.7, 5.1 cycles/byte, SPECK 128/192 encryption within 10.4, 5.6 cycles/byte, SPECK 128/256 encryption within 11.0, and 5.6 cycles/byte respectively on ARM Cortex-A53 environment. More... »

PAGES

283-294

References to SciGraph publications

  • 2016. Faster ECC over $$\mathbb {F}_{2^{521}-1}$$ F 2 521 - 1 (feat. NEON) in INFORMATION SECURITY AND CRYPTOLOGY - ICISC 2015
  • 2015. The Simon and Speck Block Ciphers on AVR 8-Bit Microcontrollers in LIGHTWEIGHT CRYPTOGRAPHY FOR SECURITY AND PRIVACY
  • 2017. Parallel Implementations of LEA, Revisited in INFORMATION SECURITY APPLICATIONS
  • 2014. Parallel Implementations of LEA in INFORMATION SECURITY AND CRYPTOLOGY -- ICISC 2013
  • 2012. NEON Crypto in CRYPTOGRAPHIC HARDWARE AND EMBEDDED SYSTEMS – CHES 2012
  • 2017-03. Improved linear (hull) cryptanalysis of round-reduced versions of SIMON in SCIENCE CHINA INFORMATION SCIENCES
  • 2013. Efficient Vector Implementations of AES-Based Designs: A Case Study and New Implemenations for Grøstl in TOPICS IN CRYPTOLOGY – CT-RSA 2013
  • 2014. Efficient and Secure Algorithms for GLV-Based Scalar Multiplication and Their Implementation on GLV-GLS Curves in TOPICS IN CRYPTOLOGY – CT-RSA 2014
  • 2015. Montgomery Modular Multiplication on ARM-NEON Revisited in INFORMATION SECURITY AND CRYPTOLOGY - ICISC 2014
  • 2014. Kummer Strikes Back: New DH Speed Records in ADVANCES IN CRYPTOLOGY – ASIACRYPT 2014
  • Book

    TITLE

    Information Security Applications

    ISBN

    978-3-319-93562-1
    978-3-319-93563-8

    From Grant

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-93563-8_24

    DOI

    http://dx.doi.org/10.1007/978-3-319-93563-8_24

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1105067042


    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": "Pusan National University", 
              "id": "https://www.grid.ac/institutes/grid.262229.f", 
              "name": [
                "Pusan National University"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Park", 
            "givenName": "Taehwan", 
            "id": "sg:person.014133561767.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014133561767.73"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hansung University", 
              "id": "https://www.grid.ac/institutes/grid.444079.a", 
              "name": [
                "Hansung University"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Seo", 
            "givenName": "Hwajeong", 
            "id": "sg:person.015101423711.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015101423711.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pusan National University", 
              "id": "https://www.grid.ac/institutes/grid.262229.f", 
              "name": [
                "Pusan National University"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lee", 
            "givenName": "Garam", 
            "id": "sg:person.013375133631.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013375133631.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Okayama University", 
              "id": "https://www.grid.ac/institutes/grid.261356.5", 
              "name": [
                "Okayama University"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Khandaker", 
            "givenName": "Al-Amin", 
            "id": "sg:person.015506117570.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015506117570.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Okayama University", 
              "id": "https://www.grid.ac/institutes/grid.261356.5", 
              "name": [
                "Okayama University"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nogami", 
            "givenName": "Yasuyuki", 
            "id": "sg:person.012253411571.23", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012253411571.23"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pusan National University", 
              "id": "https://www.grid.ac/institutes/grid.262229.f", 
              "name": [
                "Pusan National University"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Howon", 
            "id": "sg:person.010610076315.82", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010610076315.82"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-3-319-04852-9_1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017542132", 
              "https://doi.org/10.1007/978-3-319-04852-9_1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-15943-0_20", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024476057", 
              "https://doi.org/10.1007/978-3-319-15943-0_20"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11432-015-0007-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028536548", 
              "https://doi.org/10.1007/s11432-015-0007-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-33027-8_19", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030639334", 
              "https://doi.org/10.1007/978-3-642-33027-8_19"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-30840-1_11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032065615", 
              "https://doi.org/10.1007/978-3-319-30840-1_11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-36095-4_10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033204563", 
              "https://doi.org/10.1007/978-3-642-36095-4_10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-662-45611-8_17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037629815", 
              "https://doi.org/10.1007/978-3-662-45611-8_17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-16363-5_1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049093977", 
              "https://doi.org/10.1007/978-3-319-16363-5_1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-12160-4_16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053203922", 
              "https://doi.org/10.1007/978-3-319-12160-4_16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/sec.1706", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074217372"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-56549-1_27", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084708616", 
              "https://doi.org/10.1007/978-3-319-56549-1_27"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/platcon.2016.7456813", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093180979"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/isqed.2015.7085469", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093490538"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/fdtc.2014.14", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093832101"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/hst.2014.6855568", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094763235"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018", 
        "datePublishedReg": "2018-01-01", 
        "description": "In this paper, we revisited the parallel implementation of SIMON and SPECK block ciphers. The performances of SIMON and SPECK are significantly improved by using ARM NEON SIMD (Single Instruction Multiple Data) parallel computing and OpenMP SIMT (Single Instruction Multiple Thread). We optimized the implementation on ARM NEON architecture. For optimized NEON, we reduced the number of registers for round key and increased the number of registers for plaintexts. Furthermore, we proposed the efficient forward and backward alignment methods. Finally, we maximize the performance by using SIMT (Single Instruction Multiple Threads). In the case of performance of proposed methods and proposed methods with SIMT, SIMON 128/128 encryption within 32.4, 14.3 cycles/byte, SIMON 128/192 encryption within 30.1, 15.9 cycles/byte, SIMON 128/256 encryption within 32.4, 16.9 cycles/byte, SPECK 128/128 encryption within 9.7, 5.1 cycles/byte, SPECK 128/192 encryption within 10.4, 5.6 cycles/byte, SPECK 128/256 encryption within 11.0, and 5.6 cycles/byte respectively on ARM Cortex-A53 environment.", 
        "editor": [
          {
            "familyName": "Kang", 
            "givenName": "Brent ByungHoon", 
            "type": "Person"
          }, 
          {
            "familyName": "Kim", 
            "givenName": "Taesoo", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-319-93563-8_24", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.5898342", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": {
          "isbn": [
            "978-3-319-93562-1", 
            "978-3-319-93563-8"
          ], 
          "name": "Information Security Applications", 
          "type": "Book"
        }, 
        "name": "Parallel Implementations of SIMON and SPECK, Revisited", 
        "pagination": "283-294", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-319-93563-8_24"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "2b6f0273584df476c97674f9ded6bf651994b223f0bd3f1bc75ee043e883de10"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1105067042"
            ]
          }
        ], 
        "publisher": {
          "location": "Cham", 
          "name": "Springer International Publishing", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-319-93563-8_24", 
          "https://app.dimensions.ai/details/publication/pub.1105067042"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-16T01:28", 
        "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_8700_00000604.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-319-93563-8_24"
      }
    ]
     

    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.10.1007/978-3-319-93563-8_24'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-93563-8_24'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-93563-8_24'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-93563-8_24'


     

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

    168 TRIPLES      23 PREDICATES      42 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-319-93563-8_24 schema:about anzsrc-for:08
    2 anzsrc-for:0804
    3 schema:author N00cb37cf6e894e268c8808a9caaa6e39
    4 schema:citation sg:pub.10.1007/978-3-319-04852-9_1
    5 sg:pub.10.1007/978-3-319-12160-4_16
    6 sg:pub.10.1007/978-3-319-15943-0_20
    7 sg:pub.10.1007/978-3-319-16363-5_1
    8 sg:pub.10.1007/978-3-319-30840-1_11
    9 sg:pub.10.1007/978-3-319-56549-1_27
    10 sg:pub.10.1007/978-3-642-33027-8_19
    11 sg:pub.10.1007/978-3-642-36095-4_10
    12 sg:pub.10.1007/978-3-662-45611-8_17
    13 sg:pub.10.1007/s11432-015-0007-1
    14 https://doi.org/10.1002/sec.1706
    15 https://doi.org/10.1109/fdtc.2014.14
    16 https://doi.org/10.1109/hst.2014.6855568
    17 https://doi.org/10.1109/isqed.2015.7085469
    18 https://doi.org/10.1109/platcon.2016.7456813
    19 schema:datePublished 2018
    20 schema:datePublishedReg 2018-01-01
    21 schema:description In this paper, we revisited the parallel implementation of SIMON and SPECK block ciphers. The performances of SIMON and SPECK are significantly improved by using ARM NEON SIMD (Single Instruction Multiple Data) parallel computing and OpenMP SIMT (Single Instruction Multiple Thread). We optimized the implementation on ARM NEON architecture. For optimized NEON, we reduced the number of registers for round key and increased the number of registers for plaintexts. Furthermore, we proposed the efficient forward and backward alignment methods. Finally, we maximize the performance by using SIMT (Single Instruction Multiple Threads). In the case of performance of proposed methods and proposed methods with SIMT, SIMON 128/128 encryption within 32.4, 14.3 cycles/byte, SIMON 128/192 encryption within 30.1, 15.9 cycles/byte, SIMON 128/256 encryption within 32.4, 16.9 cycles/byte, SPECK 128/128 encryption within 9.7, 5.1 cycles/byte, SPECK 128/192 encryption within 10.4, 5.6 cycles/byte, SPECK 128/256 encryption within 11.0, and 5.6 cycles/byte respectively on ARM Cortex-A53 environment.
    22 schema:editor N03c56eed382a40aca49b515740a6751d
    23 schema:genre chapter
    24 schema:inLanguage en
    25 schema:isAccessibleForFree false
    26 schema:isPartOf N30aee3cef5054d3591f227ad013730c2
    27 schema:name Parallel Implementations of SIMON and SPECK, Revisited
    28 schema:pagination 283-294
    29 schema:productId N7240b68f9a864e48b6ff59e6ceb4eeba
    30 Nba2928bc1ba342cc90831f57daf979c7
    31 Ncbec217a005a4dfa9dde2f967756b997
    32 schema:publisher Nadf5da97377b4ede93de16f683ef8af4
    33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105067042
    34 https://doi.org/10.1007/978-3-319-93563-8_24
    35 schema:sdDatePublished 2019-04-16T01:28
    36 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    37 schema:sdPublisher N7f5fb09c68f846bf84cfeeae030f48d8
    38 schema:url http://link.springer.com/10.1007/978-3-319-93563-8_24
    39 sgo:license sg:explorer/license/
    40 sgo:sdDataset chapters
    41 rdf:type schema:Chapter
    42 N00cb37cf6e894e268c8808a9caaa6e39 rdf:first sg:person.014133561767.73
    43 rdf:rest N795f2e4255934822b013a16b27495606
    44 N03c56eed382a40aca49b515740a6751d rdf:first Nad254635a0004dfc9dfbceec29a3917e
    45 rdf:rest Nd2b6d4162d8547758a72957f6da5538d
    46 N0ec8f621a9eb4f7bacf7f0f490b9233f rdf:first sg:person.010610076315.82
    47 rdf:rest rdf:nil
    48 N15dcfb1c0038488c80090860053d01f2 rdf:first sg:person.015506117570.07
    49 rdf:rest N564d594fc5344395a66355d83f35b5ce
    50 N30aee3cef5054d3591f227ad013730c2 schema:isbn 978-3-319-93562-1
    51 978-3-319-93563-8
    52 schema:name Information Security Applications
    53 rdf:type schema:Book
    54 N564d594fc5344395a66355d83f35b5ce rdf:first sg:person.012253411571.23
    55 rdf:rest N0ec8f621a9eb4f7bacf7f0f490b9233f
    56 N7240b68f9a864e48b6ff59e6ceb4eeba schema:name doi
    57 schema:value 10.1007/978-3-319-93563-8_24
    58 rdf:type schema:PropertyValue
    59 N795f2e4255934822b013a16b27495606 rdf:first sg:person.015101423711.26
    60 rdf:rest Ne8d1601ead3b427a940f9e6c8f675e0c
    61 N7f5fb09c68f846bf84cfeeae030f48d8 schema:name Springer Nature - SN SciGraph project
    62 rdf:type schema:Organization
    63 Nad254635a0004dfc9dfbceec29a3917e schema:familyName Kang
    64 schema:givenName Brent ByungHoon
    65 rdf:type schema:Person
    66 Nadf5da97377b4ede93de16f683ef8af4 schema:location Cham
    67 schema:name Springer International Publishing
    68 rdf:type schema:Organisation
    69 Nba2928bc1ba342cc90831f57daf979c7 schema:name readcube_id
    70 schema:value 2b6f0273584df476c97674f9ded6bf651994b223f0bd3f1bc75ee043e883de10
    71 rdf:type schema:PropertyValue
    72 Ncbec217a005a4dfa9dde2f967756b997 schema:name dimensions_id
    73 schema:value pub.1105067042
    74 rdf:type schema:PropertyValue
    75 Nd2b6d4162d8547758a72957f6da5538d rdf:first Ne25b32eb41214f4fb7cf1e170d16ba1c
    76 rdf:rest rdf:nil
    77 Ne25b32eb41214f4fb7cf1e170d16ba1c schema:familyName Kim
    78 schema:givenName Taesoo
    79 rdf:type schema:Person
    80 Ne8d1601ead3b427a940f9e6c8f675e0c rdf:first sg:person.013375133631.38
    81 rdf:rest N15dcfb1c0038488c80090860053d01f2
    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:grant.5898342 http://pending.schema.org/fundedItem sg:pub.10.1007/978-3-319-93563-8_24
    89 rdf:type schema:MonetaryGrant
    90 sg:person.010610076315.82 schema:affiliation https://www.grid.ac/institutes/grid.262229.f
    91 schema:familyName Kim
    92 schema:givenName Howon
    93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010610076315.82
    94 rdf:type schema:Person
    95 sg:person.012253411571.23 schema:affiliation https://www.grid.ac/institutes/grid.261356.5
    96 schema:familyName Nogami
    97 schema:givenName Yasuyuki
    98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012253411571.23
    99 rdf:type schema:Person
    100 sg:person.013375133631.38 schema:affiliation https://www.grid.ac/institutes/grid.262229.f
    101 schema:familyName Lee
    102 schema:givenName Garam
    103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013375133631.38
    104 rdf:type schema:Person
    105 sg:person.014133561767.73 schema:affiliation https://www.grid.ac/institutes/grid.262229.f
    106 schema:familyName Park
    107 schema:givenName Taehwan
    108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014133561767.73
    109 rdf:type schema:Person
    110 sg:person.015101423711.26 schema:affiliation https://www.grid.ac/institutes/grid.444079.a
    111 schema:familyName Seo
    112 schema:givenName Hwajeong
    113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015101423711.26
    114 rdf:type schema:Person
    115 sg:person.015506117570.07 schema:affiliation https://www.grid.ac/institutes/grid.261356.5
    116 schema:familyName Khandaker
    117 schema:givenName Al-Amin
    118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015506117570.07
    119 rdf:type schema:Person
    120 sg:pub.10.1007/978-3-319-04852-9_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017542132
    121 https://doi.org/10.1007/978-3-319-04852-9_1
    122 rdf:type schema:CreativeWork
    123 sg:pub.10.1007/978-3-319-12160-4_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053203922
    124 https://doi.org/10.1007/978-3-319-12160-4_16
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1007/978-3-319-15943-0_20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024476057
    127 https://doi.org/10.1007/978-3-319-15943-0_20
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1007/978-3-319-16363-5_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049093977
    130 https://doi.org/10.1007/978-3-319-16363-5_1
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1007/978-3-319-30840-1_11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032065615
    133 https://doi.org/10.1007/978-3-319-30840-1_11
    134 rdf:type schema:CreativeWork
    135 sg:pub.10.1007/978-3-319-56549-1_27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084708616
    136 https://doi.org/10.1007/978-3-319-56549-1_27
    137 rdf:type schema:CreativeWork
    138 sg:pub.10.1007/978-3-642-33027-8_19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030639334
    139 https://doi.org/10.1007/978-3-642-33027-8_19
    140 rdf:type schema:CreativeWork
    141 sg:pub.10.1007/978-3-642-36095-4_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033204563
    142 https://doi.org/10.1007/978-3-642-36095-4_10
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1007/978-3-662-45611-8_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037629815
    145 https://doi.org/10.1007/978-3-662-45611-8_17
    146 rdf:type schema:CreativeWork
    147 sg:pub.10.1007/s11432-015-0007-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028536548
    148 https://doi.org/10.1007/s11432-015-0007-1
    149 rdf:type schema:CreativeWork
    150 https://doi.org/10.1002/sec.1706 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074217372
    151 rdf:type schema:CreativeWork
    152 https://doi.org/10.1109/fdtc.2014.14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093832101
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.1109/hst.2014.6855568 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094763235
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1109/isqed.2015.7085469 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093490538
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1109/platcon.2016.7456813 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093180979
    159 rdf:type schema:CreativeWork
    160 https://www.grid.ac/institutes/grid.261356.5 schema:alternateName Okayama University
    161 schema:name Okayama University
    162 rdf:type schema:Organization
    163 https://www.grid.ac/institutes/grid.262229.f schema:alternateName Pusan National University
    164 schema:name Pusan National University
    165 rdf:type schema:Organization
    166 https://www.grid.ac/institutes/grid.444079.a schema:alternateName Hansung University
    167 schema:name Hansung University
    168 rdf:type schema:Organization
     




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


    ...