{"id":"W4221095853","doi":"10.1016/j.dib.2022.107795","title":"Hornet 40: Network dataset of geographically placed honeypots","year":2022,"lang":"en","type":"article","venue":"Data in Brief","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Honeypot; Geolocation; Computer science; The Internet; NetFlow; Server; Computer security; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001203376,0.00009639023,0.0001699706,0.0001167323,0.0001674732,0.00005623754,0.002769501,0.00004072803,0.0002080157],"category_scores_gemma":[0.00005084323,0.0001065949,0.00002321776,0.001281759,0.00005447374,0.0005773379,0.004239919,0.0003334991,0.000009117551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001757833,"about_ca_system_score_gemma":0.00004477657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004290881,"about_ca_topic_score_gemma":0.0002395946,"domain_scores_codex":[0.9982695,0.0002208385,0.0003453311,0.0005032347,0.0003869483,0.0002741699],"domain_scores_gemma":[0.9977067,0.0001252214,0.0001398383,0.001952545,0.00001769045,0.000058065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001596412,0.0002935767,0.002478763,0.0000217429,0.00002979363,0.00007052455,0.0001724047,0.007902755,0.0001523798,0.01841905,0.9398996,0.03039978],"study_design_scores_gemma":[0.0004799064,0.0001743937,0.008962431,0.00001420788,0.000005315411,0.00003333124,0.000009977678,0.1429861,0.00003211204,0.003580211,0.8435313,0.0001907094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5396619,0.005907999,0.3499311,0.009445719,0.01329969,0.00331347,0.07397178,0.00114755,0.003320843],"genre_scores_gemma":[0.9459781,0.0002993403,0.02495903,0.003422287,0.0004294822,0.00006598852,0.02477871,0.00002415528,0.00004290665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4063162,"threshold_uncertainty_score":0.5284756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194257492241183,"score_gpt":0.2473920253508884,"score_spread":0.2254494504284766,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}