The privacy protection mechanism of Hyperledger Fabric and its application in supply chain finance View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-12

AUTHORS

Chaoqun Ma, Xiaolin Kong, Qiujun Lan, Zhongding Zhou

ABSTRACT

Blockchain technology ensures that data is tamper-proof, traceable, and trustworthy. This article introduces a well-known blockchain technology implementation—Hyperledger Fabric. The basic framework and privacy protection mechanisms of Hyperledger Fabric such as certificate authority, channel, Private Data Collection, etc. are described. As an example, a specific business scenario of supply chain finance is figured out. And accordingly, some design details about how to apply these privacy protection mechanisms are described. More... »

PAGES

5

Journal

TITLE

Cybersecurity

ISSUE

1

VOLUME

2

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s42400-019-0022-2

DOI

http://dx.doi.org/10.1186/s42400-019-0022-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111771847


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": "Hunan University", 
          "id": "https://www.grid.ac/institutes/grid.67293.39", 
          "name": [
            "Business School, Hunan University, 410082, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ma", 
        "givenName": "Chaoqun", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan University", 
          "id": "https://www.grid.ac/institutes/grid.67293.39", 
          "name": [
            "Business School, Hunan University, 410082, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kong", 
        "givenName": "Xiaolin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan University", 
          "id": "https://www.grid.ac/institutes/grid.67293.39", 
          "name": [
            "Business School, Hunan University, 410082, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lan", 
        "givenName": "Qiujun", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hunan University", 
          "id": "https://www.grid.ac/institutes/grid.67293.39", 
          "name": [
            "Business School, Hunan University, 410082, Changsha, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "Zhongding", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1108/ijpdlm-07-2014-0165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010278346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1108/ijpdlm-08-2014-0173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020843079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4337/9781784717766.00019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027159421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bir.2016.06.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037080855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/su8050433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041573861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4236/jssm.2014.73016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051053394"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mprv.2014.22", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061418751"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1504/ijahuc.2015.069061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067430871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4316/aece.2013.01004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072511602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/sai.2016.7556106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094512136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cec-east.2004.14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095415245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icris.2018.00147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105563732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2018/3858592", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105767944"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Blockchain technology ensures that data is tamper-proof, traceable, and trustworthy. This article introduces a well-known blockchain technology implementation\u2014Hyperledger Fabric. The basic framework and privacy protection mechanisms of Hyperledger Fabric such as certificate authority, channel, Private Data Collection, etc. are described. As an example, a specific business scenario of supply chain finance is figured out. And accordingly, some design details about how to apply these privacy protection mechanisms are described.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s42400-019-0022-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1320445", 
        "issn": [
          "2523-3246"
        ], 
        "name": "Cybersecurity", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "2"
      }
    ], 
    "name": "The privacy protection mechanism of Hyperledger Fabric and its application in supply chain finance", 
    "pagination": "5", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "37943a80e6ad71556ca7c24b7a70d6a988458143727167599398c77c1b81482b"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s42400-019-0022-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111771847"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s42400-019-0022-2", 
      "https://app.dimensions.ai/details/publication/pub.1111771847"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:59", 
    "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/v90/0000000326_0000000326/records_68474_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs42400-019-0022-2"
  }
]
 

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.10.1186/s42400-019-0022-2'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s42400-019-0022-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s42400-019-0022-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s42400-019-0022-2'


 

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

116 TRIPLES      21 PREDICATES      40 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s42400-019-0022-2 schema:about anzsrc-for:08
2 anzsrc-for:0804
3 schema:author N076b081341f442adb5dda5e3aa5bd340
4 schema:citation https://doi.org/10.1016/j.bir.2016.06.001
5 https://doi.org/10.1108/ijpdlm-07-2014-0165
6 https://doi.org/10.1108/ijpdlm-08-2014-0173
7 https://doi.org/10.1109/cec-east.2004.14
8 https://doi.org/10.1109/icris.2018.00147
9 https://doi.org/10.1109/mprv.2014.22
10 https://doi.org/10.1109/sai.2016.7556106
11 https://doi.org/10.1155/2018/3858592
12 https://doi.org/10.1504/ijahuc.2015.069061
13 https://doi.org/10.3390/su8050433
14 https://doi.org/10.4236/jssm.2014.73016
15 https://doi.org/10.4316/aece.2013.01004
16 https://doi.org/10.4337/9781784717766.00019
17 schema:datePublished 2019-12
18 schema:datePublishedReg 2019-12-01
19 schema:description Blockchain technology ensures that data is tamper-proof, traceable, and trustworthy. This article introduces a well-known blockchain technology implementation—Hyperledger Fabric. The basic framework and privacy protection mechanisms of Hyperledger Fabric such as certificate authority, channel, Private Data Collection, etc. are described. As an example, a specific business scenario of supply chain finance is figured out. And accordingly, some design details about how to apply these privacy protection mechanisms are described.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf Ncf9e998ec8c34b46bf019a48abe061a0
24 Nd1e7e4306ee64c77850f0cdf367bf314
25 sg:journal.1320445
26 schema:name The privacy protection mechanism of Hyperledger Fabric and its application in supply chain finance
27 schema:pagination 5
28 schema:productId N0758a9171f9a44d3b9d877ea158443b4
29 N75ceb258d9ac4b9a8c604a9946ed4779
30 Nf5a17609516647d29a8f408bb3835c2b
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111771847
32 https://doi.org/10.1186/s42400-019-0022-2
33 schema:sdDatePublished 2019-04-11T08:59
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher N50b9130b78674ef4855c7bb2181fad88
36 schema:url https://link.springer.com/10.1186%2Fs42400-019-0022-2
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N0758a9171f9a44d3b9d877ea158443b4 schema:name dimensions_id
41 schema:value pub.1111771847
42 rdf:type schema:PropertyValue
43 N076b081341f442adb5dda5e3aa5bd340 rdf:first Na79bc4e656aa4e53b123f6e2706ece4b
44 rdf:rest Na4fd3111019346569ca87759877fdfe3
45 N0b6980b123c445008c3b5e8ea5483405 rdf:first N377e17f6266c493e9455e12e88cc51a2
46 rdf:rest rdf:nil
47 N377e17f6266c493e9455e12e88cc51a2 schema:affiliation https://www.grid.ac/institutes/grid.67293.39
48 schema:familyName Zhou
49 schema:givenName Zhongding
50 rdf:type schema:Person
51 N399ae54239a54a5ab768ac513c2a7e5c schema:affiliation https://www.grid.ac/institutes/grid.67293.39
52 schema:familyName Lan
53 schema:givenName Qiujun
54 rdf:type schema:Person
55 N50b9130b78674ef4855c7bb2181fad88 schema:name Springer Nature - SN SciGraph project
56 rdf:type schema:Organization
57 N63ac88828a3142ff8b75deacbeb618b1 schema:affiliation https://www.grid.ac/institutes/grid.67293.39
58 schema:familyName Kong
59 schema:givenName Xiaolin
60 rdf:type schema:Person
61 N75ceb258d9ac4b9a8c604a9946ed4779 schema:name doi
62 schema:value 10.1186/s42400-019-0022-2
63 rdf:type schema:PropertyValue
64 Na4fd3111019346569ca87759877fdfe3 rdf:first N63ac88828a3142ff8b75deacbeb618b1
65 rdf:rest Nb1d0f9632fbc45b6901c0f621ce0ac1d
66 Na79bc4e656aa4e53b123f6e2706ece4b schema:affiliation https://www.grid.ac/institutes/grid.67293.39
67 schema:familyName Ma
68 schema:givenName Chaoqun
69 rdf:type schema:Person
70 Nb1d0f9632fbc45b6901c0f621ce0ac1d rdf:first N399ae54239a54a5ab768ac513c2a7e5c
71 rdf:rest N0b6980b123c445008c3b5e8ea5483405
72 Ncf9e998ec8c34b46bf019a48abe061a0 schema:volumeNumber 2
73 rdf:type schema:PublicationVolume
74 Nd1e7e4306ee64c77850f0cdf367bf314 schema:issueNumber 1
75 rdf:type schema:PublicationIssue
76 Nf5a17609516647d29a8f408bb3835c2b schema:name readcube_id
77 schema:value 37943a80e6ad71556ca7c24b7a70d6a988458143727167599398c77c1b81482b
78 rdf:type schema:PropertyValue
79 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
80 schema:name Information and Computing Sciences
81 rdf:type schema:DefinedTerm
82 anzsrc-for:0804 schema:inDefinedTermSet anzsrc-for:
83 schema:name Data Format
84 rdf:type schema:DefinedTerm
85 sg:journal.1320445 schema:issn 2523-3246
86 schema:name Cybersecurity
87 rdf:type schema:Periodical
88 https://doi.org/10.1016/j.bir.2016.06.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037080855
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1108/ijpdlm-07-2014-0165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010278346
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1108/ijpdlm-08-2014-0173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020843079
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1109/cec-east.2004.14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095415245
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1109/icris.2018.00147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105563732
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1109/mprv.2014.22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061418751
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1109/sai.2016.7556106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094512136
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1155/2018/3858592 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105767944
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1504/ijahuc.2015.069061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067430871
105 rdf:type schema:CreativeWork
106 https://doi.org/10.3390/su8050433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041573861
107 rdf:type schema:CreativeWork
108 https://doi.org/10.4236/jssm.2014.73016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051053394
109 rdf:type schema:CreativeWork
110 https://doi.org/10.4316/aece.2013.01004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072511602
111 rdf:type schema:CreativeWork
112 https://doi.org/10.4337/9781784717766.00019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027159421
113 rdf:type schema:CreativeWork
114 https://www.grid.ac/institutes/grid.67293.39 schema:alternateName Hunan University
115 schema:name Business School, Hunan University, 410082, Changsha, China
116 rdf:type schema:Organization
 




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


...