42fa15a80d61caaaadf9 · An Attack Graph Based Probabilistic Security Metric

{
  "title_en": "An Attack Graph Based Probabilistic Security Metric",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2008-07-16",
  "date_original": "July 16, 2008",
  "url": "https://www.nist.gov/publications/attack-graph-based-probabilistic-security-metric",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Lingyu Wang, Tania Islam, Tao Long, Anoop Singhal , Sushil Jajodia",
  "abstract_excerpt_en": "To protect critical resources in today's networked environments, it is desirable to quantify the likelihood of potential multi-step attacks that combine multiple vulnerabilities. This now becomes feasible due to a model of causal relationships between",
  "id": "42fa15a80d61caaaadf9",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "An Attack Graph Based Probabilistic Security Metric",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2008-07-16",
      "date_original": "July 16, 2008",
      "url": "https://www.nist.gov/publications/attack-graph-based-probabilistic-security-metric",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Lingyu Wang, Tania Islam, Tao Long, Anoop Singhal , Sushil Jajodia",
      "abstract_excerpt_en": "To protect critical resources in today's networked environments, it is desirable to quantify the likelihood of potential multi-step attacks that combine multiple vulnerabilities. This now becomes feasible due to a model of causal relationships between"
    }
  ],
  "translation_state": "none"
}