Fast Software AES Encryption View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2010

AUTHORS

Dag Arne Osvik , Joppe W. Bos , Deian Stefan , David Canright

ABSTRACT

This paper presents new software speed records for AES-128 encryption for architectures at both ends of the performance spectrum. On the one side we target the low-end 8-bit AVR microcontrollers and 32-bit ARM microprocessors, while on the other side of the spectrum we consider the high-performing Cell broadband engine and NVIDIA graphics processing units (GPUs). Platform specific techniques are detailed, explaining how the software speed records on these architectures are obtained. Additionally, this paper presents the first AES decryption implementation for GPU architectures. More... »

PAGES

75-93

References to SciGraph publications

Book

TITLE

Fast Software Encryption

ISBN

978-3-642-13857-7
978-3-642-13858-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-13858-4_5

DOI

http://dx.doi.org/10.1007/978-3-642-13858-4_5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046316812


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/2008/0803", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Computer Software", 
        "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": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", 
          "id": "https://www.grid.ac/institutes/grid.5333.6", 
          "name": [
            "Laboratory for Cryptologic Algorithms, EPFL, CH-1015, Lausanne, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Osvik", 
        "givenName": "Dag Arne", 
        "id": "sg:person.016706772455.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016706772455.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", 
          "id": "https://www.grid.ac/institutes/grid.5333.6", 
          "name": [
            "Laboratory for Cryptologic Algorithms, EPFL, CH-1015, Lausanne, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bos", 
        "givenName": "Joppe W.", 
        "id": "sg:person.011356726653.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011356726653.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cooper Union", 
          "id": "https://www.grid.ac/institutes/grid.254672.0", 
          "name": [
            "Dept. of Electrical Engineering, The Cooper Union, 10003, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stefan", 
        "givenName": "Deian", 
        "id": "sg:person.012620432773.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012620432773.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Naval Postgraduate School", 
          "id": "https://www.grid.ac/institutes/grid.1108.8", 
          "name": [
            "Applied Math., Naval Postgraduate School, 93943, Monterey, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Canright", 
        "givenName": "David", 
        "id": "sg:person.011476452026.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011476452026.53"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-3-642-10366-7_1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012721517", 
          "https://doi.org/10.1007/978-3-642-10366-7_1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-10366-7_1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012721517", 
          "https://doi.org/10.1007/978-3-642-10366-7_1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-28632-5_26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014916110", 
          "https://doi.org/10.1007/978-3-540-28632-5_26"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-28632-5_26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014916110", 
          "https://doi.org/10.1007/978-3-540-28632-5_26"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-79263-5_11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016217574", 
          "https://doi.org/10.1007/978-3-540-79263-5_11"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-79263-5_11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016217574", 
          "https://doi.org/10.1007/978-3-540-79263-5_11"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-03356-8_14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016485222", 
          "https://doi.org/10.1007/978-3-642-03356-8_14"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-89754-5_25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016538148", 
          "https://doi.org/10.1007/978-3-540-89754-5_25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-89754-5_25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016538148", 
          "https://doi.org/10.1007/978-3-540-89754-5_25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bfb0052352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028761841", 
          "https://doi.org/10.1007/bfb0052352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bfb0052352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028761841", 
          "https://doi.org/10.1007/bfb0052352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1281500.1281643", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028931237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/967900.968073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034277721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-04138-9_1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038763693", 
          "https://doi.org/10.1007/978-3-642-04138-9_1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-76900-2_15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040508952", 
          "https://doi.org/10.1007/978-3-540-76900-2_15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-76900-2_15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040508952", 
          "https://doi.org/10.1007/978-3-540-76900-2_15"
        ], 
        "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"
      }, 
      {
        "id": "https://doi.org/10.1145/1141911.1141947", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063151965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/hotchips.2009.7478342", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093534324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icspc.2007.4728256", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094049706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/hpca.2005.26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094158096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iccad.2005.1560049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095317906"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010", 
    "datePublishedReg": "2010-01-01", 
    "description": "This paper presents new software speed records for AES-128 encryption for architectures at both ends of the performance spectrum. On the one side we target the low-end 8-bit AVR microcontrollers and 32-bit ARM microprocessors, while on the other side of the spectrum we consider the high-performing Cell broadband engine and NVIDIA graphics processing units (GPUs). Platform specific techniques are detailed, explaining how the software speed records on these architectures are obtained. Additionally, this paper presents the first AES decryption implementation for GPU architectures.", 
    "editor": [
      {
        "familyName": "Hong", 
        "givenName": "Seokhie", 
        "type": "Person"
      }, 
      {
        "familyName": "Iwata", 
        "givenName": "Tetsu", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-13858-4_5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-642-13857-7", 
        "978-3-642-13858-4"
      ], 
      "name": "Fast Software Encryption", 
      "type": "Book"
    }, 
    "name": "Fast Software AES Encryption", 
    "pagination": "75-93", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046316812"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-13858-4_5"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "dca1d1d44958cba7f7aff82965d18651e5d5e817ac4b22b412b21d36bab7ad7c"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-13858-4_5", 
      "https://app.dimensions.ai/details/publication/pub.1046316812"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T07:59", 
    "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/v90/0000000359_0000000359/records_29183_00000002.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-642-13858-4_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.10.1007/978-3-642-13858-4_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.10.1007/978-3-642-13858-4_5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-13858-4_5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-13858-4_5'


 

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

156 TRIPLES      23 PREDICATES      44 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-13858-4_5 schema:about anzsrc-for:08
2 anzsrc-for:0803
3 schema:author N3f6d2c4da7ed447eac868fcb948636c6
4 schema:citation sg:pub.10.1007/978-3-540-28632-5_26
5 sg:pub.10.1007/978-3-540-76900-2_15
6 sg:pub.10.1007/978-3-540-79263-5_11
7 sg:pub.10.1007/978-3-540-89754-5_25
8 sg:pub.10.1007/978-3-642-03356-8_14
9 sg:pub.10.1007/978-3-642-04138-9_1
10 sg:pub.10.1007/978-3-642-10366-7_1
11 sg:pub.10.1007/978-3-662-04722-4
12 sg:pub.10.1007/bfb0052352
13 https://app.dimensions.ai/details/publication/pub.1052093804
14 https://doi.org/10.1109/hotchips.2009.7478342
15 https://doi.org/10.1109/hpca.2005.26
16 https://doi.org/10.1109/iccad.2005.1560049
17 https://doi.org/10.1109/icspc.2007.4728256
18 https://doi.org/10.1145/1141911.1141947
19 https://doi.org/10.1145/1281500.1281643
20 https://doi.org/10.1145/967900.968073
21 schema:datePublished 2010
22 schema:datePublishedReg 2010-01-01
23 schema:description This paper presents new software speed records for AES-128 encryption for architectures at both ends of the performance spectrum. On the one side we target the low-end 8-bit AVR microcontrollers and 32-bit ARM microprocessors, while on the other side of the spectrum we consider the high-performing Cell broadband engine and NVIDIA graphics processing units (GPUs). Platform specific techniques are detailed, explaining how the software speed records on these architectures are obtained. Additionally, this paper presents the first AES decryption implementation for GPU architectures.
24 schema:editor Nbc42b2c9b5054c8aa218a5d546f3e445
25 schema:genre chapter
26 schema:inLanguage en
27 schema:isAccessibleForFree true
28 schema:isPartOf Naa7be2a7765e4434a5284caa2fadd260
29 schema:name Fast Software AES Encryption
30 schema:pagination 75-93
31 schema:productId N6a4a0fef4f154af59f3c41bd18d9524b
32 N8b03dd0e1b3944a79e30557abd4155b7
33 Nf6e3ea3828344c3fb0cbd704315162b9
34 schema:publisher N898314a4c2da427d9e2c61eee07bc2db
35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046316812
36 https://doi.org/10.1007/978-3-642-13858-4_5
37 schema:sdDatePublished 2019-04-16T07:59
38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
39 schema:sdPublisher N7f5fe07206e847b0b98cbdd74d32457b
40 schema:url https://link.springer.com/10.1007%2F978-3-642-13858-4_5
41 sgo:license sg:explorer/license/
42 sgo:sdDataset chapters
43 rdf:type schema:Chapter
44 N23f02e90dad14a68ac5da57926414b38 rdf:first Na6d14daa96504193b08ae93e68ddda32
45 rdf:rest rdf:nil
46 N254a31ef06e946919db878f175187ecb schema:familyName Hong
47 schema:givenName Seokhie
48 rdf:type schema:Person
49 N2ac245652e7b46de91ecc4f1d7538160 rdf:first sg:person.011476452026.53
50 rdf:rest rdf:nil
51 N3f6d2c4da7ed447eac868fcb948636c6 rdf:first sg:person.016706772455.50
52 rdf:rest N72c96431773546e2bd6c296dc35a690e
53 N57d9a6be902f42ebb3e2a0a7c2346353 rdf:first sg:person.012620432773.74
54 rdf:rest N2ac245652e7b46de91ecc4f1d7538160
55 N6a4a0fef4f154af59f3c41bd18d9524b schema:name dimensions_id
56 schema:value pub.1046316812
57 rdf:type schema:PropertyValue
58 N72c96431773546e2bd6c296dc35a690e rdf:first sg:person.011356726653.68
59 rdf:rest N57d9a6be902f42ebb3e2a0a7c2346353
60 N7f5fe07206e847b0b98cbdd74d32457b schema:name Springer Nature - SN SciGraph project
61 rdf:type schema:Organization
62 N898314a4c2da427d9e2c61eee07bc2db schema:location Berlin, Heidelberg
63 schema:name Springer Berlin Heidelberg
64 rdf:type schema:Organisation
65 N8b03dd0e1b3944a79e30557abd4155b7 schema:name doi
66 schema:value 10.1007/978-3-642-13858-4_5
67 rdf:type schema:PropertyValue
68 Na6d14daa96504193b08ae93e68ddda32 schema:familyName Iwata
69 schema:givenName Tetsu
70 rdf:type schema:Person
71 Naa7be2a7765e4434a5284caa2fadd260 schema:isbn 978-3-642-13857-7
72 978-3-642-13858-4
73 schema:name Fast Software Encryption
74 rdf:type schema:Book
75 Nbc42b2c9b5054c8aa218a5d546f3e445 rdf:first N254a31ef06e946919db878f175187ecb
76 rdf:rest N23f02e90dad14a68ac5da57926414b38
77 Nf6e3ea3828344c3fb0cbd704315162b9 schema:name readcube_id
78 schema:value dca1d1d44958cba7f7aff82965d18651e5d5e817ac4b22b412b21d36bab7ad7c
79 rdf:type schema:PropertyValue
80 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
81 schema:name Information and Computing Sciences
82 rdf:type schema:DefinedTerm
83 anzsrc-for:0803 schema:inDefinedTermSet anzsrc-for:
84 schema:name Computer Software
85 rdf:type schema:DefinedTerm
86 sg:person.011356726653.68 schema:affiliation https://www.grid.ac/institutes/grid.5333.6
87 schema:familyName Bos
88 schema:givenName Joppe W.
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011356726653.68
90 rdf:type schema:Person
91 sg:person.011476452026.53 schema:affiliation https://www.grid.ac/institutes/grid.1108.8
92 schema:familyName Canright
93 schema:givenName David
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011476452026.53
95 rdf:type schema:Person
96 sg:person.012620432773.74 schema:affiliation https://www.grid.ac/institutes/grid.254672.0
97 schema:familyName Stefan
98 schema:givenName Deian
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012620432773.74
100 rdf:type schema:Person
101 sg:person.016706772455.50 schema:affiliation https://www.grid.ac/institutes/grid.5333.6
102 schema:familyName Osvik
103 schema:givenName Dag Arne
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016706772455.50
105 rdf:type schema:Person
106 sg:pub.10.1007/978-3-540-28632-5_26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014916110
107 https://doi.org/10.1007/978-3-540-28632-5_26
108 rdf:type schema:CreativeWork
109 sg:pub.10.1007/978-3-540-76900-2_15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040508952
110 https://doi.org/10.1007/978-3-540-76900-2_15
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/978-3-540-79263-5_11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016217574
113 https://doi.org/10.1007/978-3-540-79263-5_11
114 rdf:type schema:CreativeWork
115 sg:pub.10.1007/978-3-540-89754-5_25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016538148
116 https://doi.org/10.1007/978-3-540-89754-5_25
117 rdf:type schema:CreativeWork
118 sg:pub.10.1007/978-3-642-03356-8_14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016485222
119 https://doi.org/10.1007/978-3-642-03356-8_14
120 rdf:type schema:CreativeWork
121 sg:pub.10.1007/978-3-642-04138-9_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038763693
122 https://doi.org/10.1007/978-3-642-04138-9_1
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/978-3-642-10366-7_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012721517
125 https://doi.org/10.1007/978-3-642-10366-7_1
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/978-3-662-04722-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052093804
128 https://doi.org/10.1007/978-3-662-04722-4
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/bfb0052352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028761841
131 https://doi.org/10.1007/bfb0052352
132 rdf:type schema:CreativeWork
133 https://app.dimensions.ai/details/publication/pub.1052093804 schema:CreativeWork
134 https://doi.org/10.1109/hotchips.2009.7478342 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093534324
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1109/hpca.2005.26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094158096
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1109/iccad.2005.1560049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095317906
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1109/icspc.2007.4728256 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094049706
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1145/1141911.1141947 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063151965
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1145/1281500.1281643 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028931237
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1145/967900.968073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034277721
147 rdf:type schema:CreativeWork
148 https://www.grid.ac/institutes/grid.1108.8 schema:alternateName Naval Postgraduate School
149 schema:name Applied Math., Naval Postgraduate School, 93943, Monterey, CA, USA
150 rdf:type schema:Organization
151 https://www.grid.ac/institutes/grid.254672.0 schema:alternateName Cooper Union
152 schema:name Dept. of Electrical Engineering, The Cooper Union, 10003, New York, NY, USA
153 rdf:type schema:Organization
154 https://www.grid.ac/institutes/grid.5333.6 schema:alternateName École Polytechnique Fédérale de Lausanne
155 schema:name Laboratory for Cryptologic Algorithms, EPFL, CH-1015, Lausanne, Switzerland
156 rdf:type schema:Organization
 




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


...