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/2008/10", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Technology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1005", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Communications Technologies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "School of Computing and Communications, Lancaster University, Lancaster LA1 4WA, United Kingdom", 
          "id": "http://www.grid.ac/institutes/grid.9835.7", 
          "name": [
            "School of Computing and Communications, Lancaster University, Lancaster LA1 4WA, United Kingdom"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shirazi", 
        "givenName": "Noor-ul-hassan", 
        "id": "sg:person.015637166311.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015637166311.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.8532.c", 
          "name": [
            "Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schaeffer-Filho", 
        "givenName": "Alberto", 
        "id": "sg:person.016661106103.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016661106103.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Computing and Communications, Lancaster University, Lancaster LA1 4WA, United Kingdom", 
          "id": "http://www.grid.ac/institutes/grid.9835.7", 
          "name": [
            "School of Computing and Communications, Lancaster University, Lancaster LA1 4WA, United Kingdom"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hutchison", 
        "givenName": "David", 
        "id": "sg:person.012636622347.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012636622347.55"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2014-05-14", 
    "datePublishedReg": "2014-05-14", 
    "description": "There is no denying that communication networks, in particular the Internet, have changed our lives in many ways. Many organizations and businesses in general benefit, but at the same time their communication networks face many challenges such as cyber-attacks, which can result in disruptions of services and huge financial losses. Therefore, resilience of these networks against cyber-attacks is a growing interest in the cyber security community. In this paper, we propose a framework for attack pattern recognition by collecting and correlating cyber situational information vertically across protocol-levels, and horizontally along the end-to-end network path. This will help to analyze cyber challenges from different viewpoints and to develop effective countermeasures.", 
    "editor": [
      {
        "familyName": "Blackwell", 
        "givenName": "Clive", 
        "type": "Person"
      }, 
      {
        "familyName": "Zhu", 
        "givenName": "Hong", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-04447-7_10", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-04446-0", 
        "978-3-319-04447-7"
      ], 
      "name": "Cyberpatterns", 
      "type": "Book"
    }, 
    "keywords": [
      "cyber-attacks", 
      "communication networks", 
      "pattern recognition", 
      "cyber security community", 
      "cyber situational awareness", 
      "disruption of service", 
      "end network path", 
      "computer networks", 
      "huge financial losses", 
      "network paths", 
      "situational awareness", 
      "situational information", 
      "security community", 
      "cyber challenges", 
      "different viewpoints", 
      "network", 
      "financial losses", 
      "Internet", 
      "recognition", 
      "effective countermeasures", 
      "same time", 
      "challenges", 
      "general benefits", 
      "services", 
      "framework", 
      "countermeasures", 
      "information", 
      "business", 
      "path", 
      "viewpoint", 
      "way", 
      "organization", 
      "resilience", 
      "interest", 
      "benefits", 
      "time", 
      "community", 
      "awareness", 
      "end", 
      "life", 
      "loss", 
      "paper", 
      "disruption", 
      "attack pattern recognition", 
      "cyber situational information"
    ], 
    "name": "Attack Pattern Recognition Through Correlating Cyber Situational Awareness in Computer Networks", 
    "pagination": "125-134", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1050127266"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-04447-7_10"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-04447-7_10", 
      "https://app.dimensions.ai/details/publication/pub.1050127266"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-01-01T19:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/chapter/chapter_441.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-319-04447-7_10"
  }
]

Download the RDF metadata as:  json-ld nt turtle xml License info

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

127 TRIPLES      23 PREDICATES      70 URIs      63 LITERALS      7 BLANK NODES