{"id":205,"date":"2025-07-16T21:43:30","date_gmt":"2025-07-16T20:43:30","guid":{"rendered":"https:\/\/mamdouh.de\/?p=205"},"modified":"2025-07-16T21:58:22","modified_gmt":"2025-07-16T20:58:22","slug":"cybersecurity-datasets","status":"publish","type":"post","link":"https:\/\/mamdouh.de\/index.php\/2025\/07\/16\/cybersecurity-datasets\/","title":{"rendered":"Cybersecurity Datasets"},"content":{"rendered":"\n

KDD99:<\/h2>\n\n\n\n
    \n
  1. Granularity<\/li>\n\n\n\n
  2. Size (samples\/flows\/records)<\/li>\n\n\n\n
  3. Feature Set<\/li>\n\n\n\n
  4. Volume (Time Span)<\/li>\n\n\n\n
  5. Attack Taxonomy & Coverage<\/li>\n\n\n\n
  6. Represenation<\/li>\n\n\n\n
  7. Class Distribution<\/li>\n\n\n\n
  8. License<\/li>\n\n\n\n
  9. Data Collection Method<\/li>\n\n\n\n
  10. Temporal Splits & Benchmarking Support<\/li>\n\n\n\n
  11. Relevance & Currency<\/li>\n\n\n\n
  12. Labeled<\/li>\n<\/ol>\n\n\n\n

    UNSW-NB15 Dataset:<\/h2>\n\n\n\n
      \n
    1. Granularity<\/li>\n\n\n\n
    2. Size (samples\/flows\/records)<\/li>\n\n\n\n
    3. Feature Set<\/li>\n\n\n\n
    4. Volume (Time Span)<\/li>\n\n\n\n
    5. Attack Taxonomy & Coverage<\/li>\n\n\n\n
    6. Represenation<\/li>\n\n\n\n
    7. Class Distribution<\/li>\n\n\n\n
    8. License<\/li>\n\n\n\n
    9. Data Collection Method<\/li>\n\n\n\n
    10. Temporal Splits & Benchmarking Support<\/li>\n\n\n\n
    11. Relevance & Currency<\/li>\n\n\n\n
    12. Labeled<\/li>\n<\/ol>\n\n\n\n

      CICIDS2017:<\/h2>\n\n\n\n
        \n
      1. Granularity<\/li>\n\n\n\n
      2. Size (samples\/flows\/records)<\/li>\n\n\n\n
      3. Feature Set<\/li>\n\n\n\n
      4. Volume (Time Span)<\/li>\n\n\n\n
      5. Attack Taxonomy & Coverage<\/li>\n\n\n\n
      6. Represenation<\/li>\n\n\n\n
      7. Class Distribution<\/li>\n\n\n\n
      8. License<\/li>\n\n\n\n
      9. Data Collection Method<\/li>\n\n\n\n
      10. Temporal Splits & Benchmarking Support<\/li>\n\n\n\n
      11. Relevance & Currency<\/li>\n\n\n\n
      12. Labeled<\/li>\n<\/ol>\n\n\n\n

        CSEIDS2018:<\/h2>\n\n\n\n
          \n
        1. Granularity<\/li>\n\n\n\n
        2. Size (samples\/flows\/records)<\/li>\n\n\n\n
        3. Feature Set<\/li>\n\n\n\n
        4. Volume (Time Span)<\/li>\n\n\n\n
        5. Attack Taxonomy & Coverage<\/li>\n\n\n\n
        6. Represenation<\/li>\n\n\n\n
        7. Class Distribution<\/li>\n\n\n\n
        8. License<\/li>\n\n\n\n
        9. Data Collection Method<\/li>\n\n\n\n
        10. Temporal Splits & Benchmarking Support<\/li>\n\n\n\n
        11. Relevance & Currency<\/li>\n\n\n\n
        12. Labeled<\/li>\n<\/ol>\n\n\n\n

          CICDDoS2019:<\/h2>\n\n\n\n
            \n
          1. Granularity<\/li>\n\n\n\n
          2. Size (samples\/flows\/records)<\/li>\n\n\n\n
          3. Feature Set<\/li>\n\n\n\n
          4. Volume (Time Span)<\/li>\n\n\n\n
          5. Attack Taxonomy & Coverage<\/li>\n\n\n\n
          6. Represenation<\/li>\n\n\n\n
          7. Class Distribution<\/li>\n\n\n\n
          8. License<\/li>\n\n\n\n
          9. Data Collection Method<\/li>\n\n\n\n
          10. Temporal Splits & Benchmarking Support<\/li>\n\n\n\n
          11. Relevance & Currency<\/li>\n\n\n\n
          12. Labeled<\/li>\n<\/ol>\n\n\n\n

            Edge-IIoT:<\/h2>\n\n\n\n

            & Data Type, Size & Volume, Attack Taxonomy & Coverage, Feature Set & Representation, Class Distribution & Imbalance, Data Collection Method \/ Source \/ Operational Context, Temporal Splits & Benchmarking Support, Relevance & Currency<\/p>\n\n\n\n

              \n
            1. Granularity<\/li>\n\n\n\n
            2. Size (samples\/flows\/records)<\/li>\n\n\n\n
            3. Feature Set<\/li>\n\n\n\n
            4. Volume (Time Span)<\/li>\n\n\n\n
            5. Attack Taxonomy & Coverage<\/li>\n\n\n\n
            6. Represenation<\/li>\n\n\n\n
            7. Class Distribution<\/li>\n\n\n\n
            8. License<\/li>\n\n\n\n
            9. Data Collection Method<\/li>\n\n\n\n
            10. Temporal Splits & Benchmarking Support<\/li>\n\n\n\n
            11. Relevance & Currency<\/li>\n\n\n\n
            12. Labeled<\/li>\n<\/ol>\n\n\n\n

              <\/p>\n","protected":false},"excerpt":{"rendered":"

              KDD99: UNSW-NB15 Dataset: CICIDS2017: CSEIDS2018: CICDDoS2019: Edge-IIoT: & Data Type, Size & Volume, Attack Taxonomy & Coverage, Feature Set & Representation, Class Distribution & Imbalance, Data...<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-205","post","type-post","status-publish","format-standard","hentry","category-cybersecurity"],"_links":{"self":[{"href":"https:\/\/mamdouh.de\/index.php\/wp-json\/wp\/v2\/posts\/205","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mamdouh.de\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mamdouh.de\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mamdouh.de\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mamdouh.de\/index.php\/wp-json\/wp\/v2\/comments?post=205"}],"version-history":[{"count":2,"href":"https:\/\/mamdouh.de\/index.php\/wp-json\/wp\/v2\/posts\/205\/revisions"}],"predecessor-version":[{"id":208,"href":"https:\/\/mamdouh.de\/index.php\/wp-json\/wp\/v2\/posts\/205\/revisions\/208"}],"wp:attachment":[{"href":"https:\/\/mamdouh.de\/index.php\/wp-json\/wp\/v2\/media?parent=205"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mamdouh.de\/index.php\/wp-json\/wp\/v2\/categories?post=205"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mamdouh.de\/index.php\/wp-json\/wp\/v2\/tags?post=205"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}