Towards constructive approach to end-to-end slice isolation in 5G networks View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Zbigniew Kotulski, Tomasz Wojciech Nowak, Mariusz Sepczuk, Marcin Tunia, Rafal Artych, Krzysztof Bocianiak, Tomasz Osko, Jean-Philippe Wary

ABSTRACT

Although 5G (fifth generation) networks are still in the realm of ideas, their architecture can be considered as reaching a forming phase. There are several reports and white papers which attempt to precise 5G architectural requirements presenting them from different points of view, including techno-socio-economic impacts and technological constraints. Most of them deal with network slicing aspects as a central point, often strengthening slices with slice isolation. The idea of isolation in the network is not new. However, currently considered technologies give new capabilities that can bring added value in this field. The goal of this paper is to present and examine the isolation capabilities and selected approaches to its realization in network slicing context. As the 5G architecture is still evolving, the specification of isolated slices operation and management brings new requirements that need to be addressed, especially in a context of end-to-end (E2E) security. Thus, an outline of recent trends in slice isolation and a set of challenges are presented. The challenges, if properly addressed, could be a step from the concept of 5G networks to proof-of-concept solutions which provide E2E user’s security based on slices isolation. Among other things, the key features are proper slice design and establishment, security at interfaces, suitable access protocols, correct virtual resources sharing, and an adaptable management and orchestration architecture (MANO). In conclusion of the paper, short outlines of two of the main secure isolation challenges are given: a proper definition of isolation parameters and designing suitable MANO system. More... »

PAGES

2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13635-018-0072-0

DOI

http://dx.doi.org/10.1186/s13635-018-0072-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101633354


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/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "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": "Warsaw University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.1035.7", 
          "name": [
            "Institute of Telecommunications of WUT, Nowowiejska 15/19, 00-665, Warsaw, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kotulski", 
        "givenName": "Zbigniew", 
        "id": "sg:person.014724131517.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014724131517.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Warsaw University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.1035.7", 
          "name": [
            "Institute of Telecommunications of WUT, Nowowiejska 15/19, 00-665, Warsaw, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nowak", 
        "givenName": "Tomasz Wojciech", 
        "id": "sg:person.010534602267.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010534602267.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Warsaw University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.1035.7", 
          "name": [
            "Institute of Telecommunications of WUT, Nowowiejska 15/19, 00-665, Warsaw, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sepczuk", 
        "givenName": "Mariusz", 
        "id": "sg:person.013777747447.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013777747447.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Warsaw University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.1035.7", 
          "name": [
            "Institute of Telecommunications of WUT, Nowowiejska 15/19, 00-665, Warsaw, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tunia", 
        "givenName": "Marcin", 
        "id": "sg:person.012471331303.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012471331303.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Orange (Poland)", 
          "id": "https://www.grid.ac/institutes/grid.426180.9", 
          "name": [
            "Orange Polska S.A., Warsaw, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Artych", 
        "givenName": "Rafal", 
        "id": "sg:person.010602715467.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010602715467.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Orange (Poland)", 
          "id": "https://www.grid.ac/institutes/grid.426180.9", 
          "name": [
            "Orange Polska S.A., Warsaw, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bocianiak", 
        "givenName": "Krzysztof", 
        "id": "sg:person.012773237067.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012773237067.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Orange (Poland)", 
          "id": "https://www.grid.ac/institutes/grid.426180.9", 
          "name": [
            "Orange Polska S.A., Warsaw, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Osko", 
        "givenName": "Tomasz", 
        "id": "sg:person.015163560467.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015163560467.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Orange (France)", 
          "id": "https://www.grid.ac/institutes/grid.89485.38", 
          "name": [
            "Orange Labs, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wary", 
        "givenName": "Jean-Philippe", 
        "id": "sg:person.010717630061.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010717630061.56"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11036-011-0321-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021687001", 
          "https://doi.org/10.1007/s11036-011-0321-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-16558-0_8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027541994", 
          "https://doi.org/10.1007/978-3-642-16558-0_8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-16558-0_8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027541994", 
          "https://doi.org/10.1007/978-3-642-16558-0_8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/774763.774772", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027563544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11235-011-9435-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028694044", 
          "https://doi.org/10.1007/s11235-011-9435-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ett.3058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032694601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tnsm.2016.2569020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036975460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11432-015-5293-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046263523", 
          "https://doi.org/10.1007/s11432-015-5293-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/iet-net.2014.0104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056832858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/comst.2016.2556979", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061258403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/map.2003.1232163", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061383414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mcom.2014.6736747", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061396014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mcom.2016.7470940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061396686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mcom.2016.7509393", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061396733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tnsm.2016.2580668", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061739874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tnsm.2016.2587664", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061739880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tnsm.2016.2597295", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061739889"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/jocn.7.000b62", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065139912"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2197/ipsjjip.25.153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083824561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mwc.2017.1600181wc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084204619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mcom.2017.1600935", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085538987"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mcom.2017.1600951", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085538990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mic.2017.3481355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091851467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/matecconf/201712503009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092057636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/matecconf/201712503012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092058403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/eucnc.2017.7980670", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093272254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/comsnets.2013.6465548", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093297147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/eucnc.2016.7561032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093543980"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/dsn.2017.42", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093964308"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/netsoft.2015.7116190", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094383804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/wf-iot.2014.6803224", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094527121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/eucnc.2016.7561036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094584968"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iccw.2016.7503760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094991461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/trustcom/bigdatase/icess.2017.345", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095333147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/wmnc.2010.5678740", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095644886"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ictc.2016.7763354", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095695694"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.15439/2017f228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095851121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.15439/2017f235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095969138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ofc.2015.w4j.6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099008590"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Although 5G (fifth generation) networks are still in the realm of ideas, their architecture can be considered as reaching a forming phase. There are several reports and white papers which attempt to precise 5G architectural requirements presenting them from different points of view, including techno-socio-economic impacts and technological constraints. Most of them deal with network slicing aspects as a central point, often strengthening slices with slice isolation. The idea of isolation in the network is not new. However, currently considered technologies give new capabilities that can bring added value in this field. The goal of this paper is to present and examine the isolation capabilities and selected approaches to its realization in network slicing context. As the 5G architecture is still evolving, the specification of isolated slices operation and management brings new requirements that need to be addressed, especially in a context of end-to-end (E2E) security. Thus, an outline of recent trends in slice isolation and a set of challenges are presented. The challenges, if properly addressed, could be a step from the concept of 5G networks to proof-of-concept solutions which provide E2E user\u2019s security based on slices isolation. Among other things, the key features are proper slice design and establishment, security at interfaces, suitable access protocols, correct virtual resources sharing, and an adaptable management and orchestration architecture (MANO). In conclusion of the paper, short outlines of two of the main secure isolation challenges are given: a proper definition of isolation parameters and designing suitable MANO system.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13635-018-0072-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1313801", 
        "issn": [
          "1687-4161", 
          "2510-523X"
        ], 
        "name": "EURASIP Journal on Information Security", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "2018"
      }
    ], 
    "name": "Towards constructive approach to end-to-end slice isolation in 5G networks", 
    "pagination": "2", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8ad085785fc370407a12ae3f649f7b2aa3dfae9a49cc66fd27d08c656b330cd0"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13635-018-0072-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1101633354"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13635-018-0072-0", 
      "https://app.dimensions.ai/details/publication/pub.1101633354"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:25", 
    "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/v90/0000000362_0000000362/records_87106_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13635-018-0072-0"
  }
]
 

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/s13635-018-0072-0'

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/s13635-018-0072-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13635-018-0072-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13635-018-0072-0'


 

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

234 TRIPLES      21 PREDICATES      65 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13635-018-0072-0 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author N48db61eeead141cabef2244067ac5714
4 schema:citation sg:pub.10.1007/978-3-642-16558-0_8
5 sg:pub.10.1007/s11036-011-0321-7
6 sg:pub.10.1007/s11235-011-9435-2
7 sg:pub.10.1007/s11432-015-5293-y
8 https://doi.org/10.1002/ett.3058
9 https://doi.org/10.1049/iet-net.2014.0104
10 https://doi.org/10.1051/matecconf/201712503009
11 https://doi.org/10.1051/matecconf/201712503012
12 https://doi.org/10.1109/comsnets.2013.6465548
13 https://doi.org/10.1109/comst.2016.2556979
14 https://doi.org/10.1109/dsn.2017.42
15 https://doi.org/10.1109/eucnc.2016.7561032
16 https://doi.org/10.1109/eucnc.2016.7561036
17 https://doi.org/10.1109/eucnc.2017.7980670
18 https://doi.org/10.1109/iccw.2016.7503760
19 https://doi.org/10.1109/ictc.2016.7763354
20 https://doi.org/10.1109/map.2003.1232163
21 https://doi.org/10.1109/mcom.2014.6736747
22 https://doi.org/10.1109/mcom.2016.7470940
23 https://doi.org/10.1109/mcom.2016.7509393
24 https://doi.org/10.1109/mcom.2017.1600935
25 https://doi.org/10.1109/mcom.2017.1600951
26 https://doi.org/10.1109/mic.2017.3481355
27 https://doi.org/10.1109/mwc.2017.1600181wc
28 https://doi.org/10.1109/netsoft.2015.7116190
29 https://doi.org/10.1109/tnsm.2016.2569020
30 https://doi.org/10.1109/tnsm.2016.2580668
31 https://doi.org/10.1109/tnsm.2016.2587664
32 https://doi.org/10.1109/tnsm.2016.2597295
33 https://doi.org/10.1109/trustcom/bigdatase/icess.2017.345
34 https://doi.org/10.1109/wf-iot.2014.6803224
35 https://doi.org/10.1109/wmnc.2010.5678740
36 https://doi.org/10.1145/774763.774772
37 https://doi.org/10.1364/jocn.7.000b62
38 https://doi.org/10.1364/ofc.2015.w4j.6
39 https://doi.org/10.15439/2017f228
40 https://doi.org/10.15439/2017f235
41 https://doi.org/10.2197/ipsjjip.25.153
42 schema:datePublished 2018-12
43 schema:datePublishedReg 2018-12-01
44 schema:description Although 5G (fifth generation) networks are still in the realm of ideas, their architecture can be considered as reaching a forming phase. There are several reports and white papers which attempt to precise 5G architectural requirements presenting them from different points of view, including techno-socio-economic impacts and technological constraints. Most of them deal with network slicing aspects as a central point, often strengthening slices with slice isolation. The idea of isolation in the network is not new. However, currently considered technologies give new capabilities that can bring added value in this field. The goal of this paper is to present and examine the isolation capabilities and selected approaches to its realization in network slicing context. As the 5G architecture is still evolving, the specification of isolated slices operation and management brings new requirements that need to be addressed, especially in a context of end-to-end (E2E) security. Thus, an outline of recent trends in slice isolation and a set of challenges are presented. The challenges, if properly addressed, could be a step from the concept of 5G networks to proof-of-concept solutions which provide E2E user’s security based on slices isolation. Among other things, the key features are proper slice design and establishment, security at interfaces, suitable access protocols, correct virtual resources sharing, and an adaptable management and orchestration architecture (MANO). In conclusion of the paper, short outlines of two of the main secure isolation challenges are given: a proper definition of isolation parameters and designing suitable MANO system.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree true
48 schema:isPartOf N557780bfacfb4655b900bf30f920848c
49 Nd41ed7776e994606ae9c147045739269
50 sg:journal.1313801
51 schema:name Towards constructive approach to end-to-end slice isolation in 5G networks
52 schema:pagination 2
53 schema:productId N76bce48865534c4097a0ad00d24cf1a8
54 Nd492a16df20a497b9ef8ff6100b8424b
55 Ne54e30065efc4a90b68c901f58195cae
56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101633354
57 https://doi.org/10.1186/s13635-018-0072-0
58 schema:sdDatePublished 2019-04-11T12:25
59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
60 schema:sdPublisher Nea4c96ceda954eefae61e5f8f96157bc
61 schema:url https://link.springer.com/10.1186%2Fs13635-018-0072-0
62 sgo:license sg:explorer/license/
63 sgo:sdDataset articles
64 rdf:type schema:ScholarlyArticle
65 N31ef8d69474a491998c3acc8185e1353 rdf:first sg:person.015163560467.62
66 rdf:rest N989d6fde4a0b41fb94ffa03e442dc1a0
67 N48db61eeead141cabef2244067ac5714 rdf:first sg:person.014724131517.29
68 rdf:rest N6b8776b652f54484842d0648b0967c35
69 N557780bfacfb4655b900bf30f920848c schema:volumeNumber 2018
70 rdf:type schema:PublicationVolume
71 N6b8776b652f54484842d0648b0967c35 rdf:first sg:person.010534602267.73
72 rdf:rest N8e78165a9aaa4dc4bd9e354aafa1f0f5
73 N76bce48865534c4097a0ad00d24cf1a8 schema:name doi
74 schema:value 10.1186/s13635-018-0072-0
75 rdf:type schema:PropertyValue
76 N83711fc78c094d758f69069318155ae1 rdf:first sg:person.012471331303.54
77 rdf:rest Nd9e0aeb7fcfc4f13a31991deabe5bc94
78 N8e78165a9aaa4dc4bd9e354aafa1f0f5 rdf:first sg:person.013777747447.44
79 rdf:rest N83711fc78c094d758f69069318155ae1
80 N989d6fde4a0b41fb94ffa03e442dc1a0 rdf:first sg:person.010717630061.56
81 rdf:rest rdf:nil
82 Ncb3784bd171b4033ba22efc2a0292114 rdf:first sg:person.012773237067.02
83 rdf:rest N31ef8d69474a491998c3acc8185e1353
84 Nd41ed7776e994606ae9c147045739269 schema:issueNumber 1
85 rdf:type schema:PublicationIssue
86 Nd492a16df20a497b9ef8ff6100b8424b schema:name readcube_id
87 schema:value 8ad085785fc370407a12ae3f649f7b2aa3dfae9a49cc66fd27d08c656b330cd0
88 rdf:type schema:PropertyValue
89 Nd9e0aeb7fcfc4f13a31991deabe5bc94 rdf:first sg:person.010602715467.97
90 rdf:rest Ncb3784bd171b4033ba22efc2a0292114
91 Ne54e30065efc4a90b68c901f58195cae schema:name dimensions_id
92 schema:value pub.1101633354
93 rdf:type schema:PropertyValue
94 Nea4c96ceda954eefae61e5f8f96157bc schema:name Springer Nature - SN SciGraph project
95 rdf:type schema:Organization
96 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
97 schema:name Information and Computing Sciences
98 rdf:type schema:DefinedTerm
99 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
100 schema:name Information Systems
101 rdf:type schema:DefinedTerm
102 sg:journal.1313801 schema:issn 1687-4161
103 2510-523X
104 schema:name EURASIP Journal on Information Security
105 rdf:type schema:Periodical
106 sg:person.010534602267.73 schema:affiliation https://www.grid.ac/institutes/grid.1035.7
107 schema:familyName Nowak
108 schema:givenName Tomasz Wojciech
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010534602267.73
110 rdf:type schema:Person
111 sg:person.010602715467.97 schema:affiliation https://www.grid.ac/institutes/grid.426180.9
112 schema:familyName Artych
113 schema:givenName Rafal
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010602715467.97
115 rdf:type schema:Person
116 sg:person.010717630061.56 schema:affiliation https://www.grid.ac/institutes/grid.89485.38
117 schema:familyName Wary
118 schema:givenName Jean-Philippe
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010717630061.56
120 rdf:type schema:Person
121 sg:person.012471331303.54 schema:affiliation https://www.grid.ac/institutes/grid.1035.7
122 schema:familyName Tunia
123 schema:givenName Marcin
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012471331303.54
125 rdf:type schema:Person
126 sg:person.012773237067.02 schema:affiliation https://www.grid.ac/institutes/grid.426180.9
127 schema:familyName Bocianiak
128 schema:givenName Krzysztof
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012773237067.02
130 rdf:type schema:Person
131 sg:person.013777747447.44 schema:affiliation https://www.grid.ac/institutes/grid.1035.7
132 schema:familyName Sepczuk
133 schema:givenName Mariusz
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013777747447.44
135 rdf:type schema:Person
136 sg:person.014724131517.29 schema:affiliation https://www.grid.ac/institutes/grid.1035.7
137 schema:familyName Kotulski
138 schema:givenName Zbigniew
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014724131517.29
140 rdf:type schema:Person
141 sg:person.015163560467.62 schema:affiliation https://www.grid.ac/institutes/grid.426180.9
142 schema:familyName Osko
143 schema:givenName Tomasz
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015163560467.62
145 rdf:type schema:Person
146 sg:pub.10.1007/978-3-642-16558-0_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027541994
147 https://doi.org/10.1007/978-3-642-16558-0_8
148 rdf:type schema:CreativeWork
149 sg:pub.10.1007/s11036-011-0321-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021687001
150 https://doi.org/10.1007/s11036-011-0321-7
151 rdf:type schema:CreativeWork
152 sg:pub.10.1007/s11235-011-9435-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028694044
153 https://doi.org/10.1007/s11235-011-9435-2
154 rdf:type schema:CreativeWork
155 sg:pub.10.1007/s11432-015-5293-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1046263523
156 https://doi.org/10.1007/s11432-015-5293-y
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1002/ett.3058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032694601
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1049/iet-net.2014.0104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056832858
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1051/matecconf/201712503009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092057636
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1051/matecconf/201712503012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092058403
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1109/comsnets.2013.6465548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093297147
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1109/comst.2016.2556979 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061258403
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1109/dsn.2017.42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093964308
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1109/eucnc.2016.7561032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093543980
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1109/eucnc.2016.7561036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094584968
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1109/eucnc.2017.7980670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093272254
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1109/iccw.2016.7503760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094991461
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1109/ictc.2016.7763354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095695694
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1109/map.2003.1232163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061383414
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1109/mcom.2014.6736747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061396014
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1109/mcom.2016.7470940 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061396686
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1109/mcom.2016.7509393 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061396733
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1109/mcom.2017.1600935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085538987
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1109/mcom.2017.1600951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085538990
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1109/mic.2017.3481355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091851467
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1109/mwc.2017.1600181wc schema:sameAs https://app.dimensions.ai/details/publication/pub.1084204619
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1109/netsoft.2015.7116190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094383804
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1109/tnsm.2016.2569020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036975460
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1109/tnsm.2016.2580668 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061739874
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1109/tnsm.2016.2587664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061739880
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1109/tnsm.2016.2597295 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061739889
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1109/trustcom/bigdatase/icess.2017.345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095333147
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1109/wf-iot.2014.6803224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094527121
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1109/wmnc.2010.5678740 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095644886
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1145/774763.774772 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027563544
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1364/jocn.7.000b62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065139912
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1364/ofc.2015.w4j.6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099008590
219 rdf:type schema:CreativeWork
220 https://doi.org/10.15439/2017f228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095851121
221 rdf:type schema:CreativeWork
222 https://doi.org/10.15439/2017f235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095969138
223 rdf:type schema:CreativeWork
224 https://doi.org/10.2197/ipsjjip.25.153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083824561
225 rdf:type schema:CreativeWork
226 https://www.grid.ac/institutes/grid.1035.7 schema:alternateName Warsaw University of Technology
227 schema:name Institute of Telecommunications of WUT, Nowowiejska 15/19, 00-665, Warsaw, Poland
228 rdf:type schema:Organization
229 https://www.grid.ac/institutes/grid.426180.9 schema:alternateName Orange (Poland)
230 schema:name Orange Polska S.A., Warsaw, Poland
231 rdf:type schema:Organization
232 https://www.grid.ac/institutes/grid.89485.38 schema:alternateName Orange (France)
233 schema:name Orange Labs, Paris, France
234 rdf:type schema:Organization
 




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


...