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92edfe35711bb433dd2c · Evolving Advanced Persistent Threat Detection Using Provenance Graph and Metric Learning

Evolving Advanced Persistent Threat Detection Using Provenance Graph and Metric Learning

Advanced persistent threats (APT) have increased in recent times as a result of the rise in interest by nationstates and sophisticated corporations to obtain high profile information. Typically, APT attacks are more challenging to detect since they

Официальный источник · 2020-06-29

Полные импортированные сведения карточки
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  "title_en": "Evolving Advanced Persistent Threat Detection Using Provenance Graph and Metric Learning",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2020-06-29",
  "date_original": "June 29, 2020",
  "url": "https://www.nist.gov/publications/evolving-advanced-persistent-threat-detection-using-provenance-graph-and-metric",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Gbadebo Ayoade, Khandakar A. Akbar, Pracheta Sahoo, Yang Gao, Anoop Singhal , Kangkook Jee, Latifur Khan, Anmol Agarwal",
  "abstract_excerpt_en": "Advanced persistent threats (APT) have increased in recent times as a result of the rise in interest by nationstates and sophisticated corporations to obtain high profile information. Typically, APT attacks are more challenging to detect since they",
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      "title_en": "Evolving Advanced Persistent Threat Detection Using Provenance Graph and Metric Learning",
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      "authors_en": "Gbadebo Ayoade, Khandakar A. Akbar, Pracheta Sahoo, Yang Gao, Anoop Singhal , Kangkook Jee, Latifur Khan, Anmol Agarwal",
      "abstract_excerpt_en": "Advanced persistent threats (APT) have increased in recent times as a result of the rise in interest by nationstates and sophisticated corporations to obtain high profile information. Typically, APT attacks are more challenging to detect since they"
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