Essec\Faculty\Model\Contribution {#2216
  #_index: "academ_contributions"
  #_id: "11965"
  #_source: array:26 [
    "id" => "11965"
    "slug" => "moving-from-uncertainty-to-risk-the-case-of-cyber-risk"
    "yearMonth" => "2020-10"
    "year" => "2020"
    "title" => "Moving from Uncertainty to Risk: the Case of Cyber Risk."
    "description" => "KRATZ, M. et DACOROGNA, M. (2020). Moving from Uncertainty to Risk: the Case of Cyber Risk. Dans: Hugo Loiseau, Daniel Ventre, Hartmut Aden eds. <i>Cybersecurity in Humanities and Social Sciences. A Research Methods Approach</i>. 1st ed. London & Hoboken: ISTE - WILEY, pp. 123-152."
    "authors" => array:2 [
      0 => array:3 [
        "name" => "KRATZ Marie"
        "bid" => "B00072305"
        "slug" => "kratz-marie"
      ]
      1 => array:1 [
        "name" => "DACOROGNA Michel"
      ]
    ]
    "ouvrage" => "Cybersecurity in Humanities and Social Sciences. A Research Methods Approach"
    "keywords" => array:1 [
      0 => "cyber risk, cyber threats,  cybercrime,  cybersecurity, data cleansing"
    ]
    "updatedAt" => "2021-09-24 10:33:27"
    "publicationUrl" => "https://doi.org/10.1002/9781119777588.ch5"
    "publicationInfo" => array:3 [
      "pages" => "123-152"
      "volume" => "1"
      "number" => "5"
    ]
    "type" => array:2 [
      "fr" => "Chapitres"
      "en" => "Book chapters"
    ]
    "support_type" => array:2 [
      "fr" => "Editeur"
      "en" => "Publisher"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "This chapter describes the quantitative methods to cope with cyber‐threats problem. It illustrates the methodological aspects along with the study conducted on the French Gendarmerie Nationale (GN) database on cybercrime complaints registered at their offices. The chapter explains the scientific approach to move from the uncertainty created in society by cybercrimes to a measurable cyber risk. It discusses data cleansing as an inescapable step to develop valuable models for exploration of dataset in the GN database. The chapter deals with the problem of learning important behaviors from the data from statistical exploration on the various variables of the dataset"
      "en" => "This chapter describes the quantitative methods to cope with cyber‐threats problem. It illustrates the methodological aspects along with the study conducted on the French Gendarmerie Nationale (GN) database on cybercrime complaints registered at their offices. The chapter explains the scientific approach to move from the uncertainty created in society by cybercrimes to a measurable cyber risk. It discusses data cleansing as an inescapable step to develop valuable models for exploration of dataset in the GN database. The chapter deals with the problem of learning important behaviors from the data from statistical exploration on the various variables of the dataset"
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d'Information, Data Analytics et Opérations"
      "en" => "Information Systems, Data Analytics and Operations"
    ]
    "indexedAt" => "2024-11-21T15:21:45.000Z"
    "docTitle" => "Moving from Uncertainty to Risk: the Case of Cyber Risk."
    "docSurtitle" => "Book chapters"
    "authorNames" => "<a href="/cv/kratz-marie">KRATZ Marie</a>, DACOROGNA Michel"
    "docDescription" => "<span class="document-property-authors">KRATZ Marie, DACOROGNA Michel</span><br><span class="document-property-authors_fields">Information Systems, Data Analytics and Operations</span> | <span class="document-property-year">2020</span>"
    "keywordList" => "<a href="#">cyber risk, cyber threats,  cybercrime,  cybersecurity, data cleansing</a>"
    "docPreview" => "<b>Moving from Uncertainty to Risk: the Case of Cyber Risk.</b><br><span>2020-10 | Book chapters </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://doi.org/10.1002/9781119777588.ch5" target="_blank">Moving from Uncertainty to Risk: the Case of Cyber Risk.</a>"
  ]
  +lang: "en"
  +"_type": "_doc"
  +"_score": 8.68352
  +"parent": null
}