{
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    {
      "@base": "ark:/88434/mds2-3921"
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  "@id": "ark:/88434/mds2-3921",
  "ediid": "ark:/88434/mds2-3921",
  "version": "1.0.0",
  "doi": "doi:10.18434/mds2-3921",
  "title": "Trojan Detection Software Challenge - cyber-network-c2-feb2024-test",
  "contactPoint": {
    "fn": "Michael Majurski",
    "hasEmail": "mailto:michael.majurski@nist.gov"
  },
  "modified": "2023-07-22",
  "status": "available",
  "landingPage": "https://data.nist.gov/od/id/mds2-3921",
  "description": [
    "TrojAI cyber-network-c2-feb2024-test Dataset",
    "This is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of ResNet18 and ResNet34 neural network models that classify botnet command and control (c2) and benign network traffic packets trained on the USTC-TFC2016 dataset. A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers."
  ],
  "keyword": [
    "Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;"
  ],
  "theme": [
    "Information Technology: Cybersecurity",
    "Information Technology: Software research"
  ],
  "topic": [
    {
      "@type": "Concept",
      "scheme": "https://data.nist.gov/od/dm/nist-themes/v1.1",
      "tag": "Information Technology: Cybersecurity"
    },
    {
      "@type": "Concept",
      "scheme": "https://data.nist.gov/od/dm/nist-themes/v1.1",
      "tag": "Information Technology: Software research"
    }
  ],
  "accessLevel": "public",
  "license": "https://www.nist.gov/open/license",
  "components": [
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      "accessURL": "https://drive.google.com/drive/folders/1ic00x4Bkloexp9HXTB-sBcVwBAL7SsCY?usp=drive_link",
      "title": "cyber-network-c2-feb2024-test",
      "@type": [
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      "@id": "#drive/folders/1ic00x4Bkloexp9HXTB-sBcVwBAL7SsCY?usp=drive_link",
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  "publisher": {
    "name": "National Institute of Standards and Technology",
    "@type": "org:Organization"
  },
  "language": [
    "en"
  ],
  "bureauCode": [
    "006:55"
  ],
  "programCode": [
    "006:052"
  ],
  "annotated": "2025-09-04T13:14:27.346836",
  "revised": "2025-09-04T13:14:27.346836",
  "issued": null,
  "firstIssued": "2025-09-04T13:14:27.346836"
}