{"id":"W4405910417","doi":"10.1016/j.dib.2024.111261","title":"CTU Hornet 65 Niner: A network dataset of geographically distributed low-interaction honeypots","year":2024,"lang":"en","type":"article","venue":"Data in Brief","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerstvo Vnitra České Republiky","keywords":"Honeypot; Research article; Computer science; Geography; Computer security; Library science","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":[0.0007030281,0.0001409728,0.000195142,0.0001543883,0.00006125443,0.0002551093,0.001420843,0.0001006891,0.00007738639],"category_scores_gemma":[0.00008083959,0.0001354306,0.00003989395,0.001510588,0.00006438505,0.001488389,0.001114935,0.0003566656,0.00004496126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000247206,"about_ca_system_score_gemma":0.00004451919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000470133,"about_ca_topic_score_gemma":0.0003450559,"domain_scores_codex":[0.9982335,0.0001121962,0.0004441972,0.0006366748,0.0002817072,0.0002917568],"domain_scores_gemma":[0.9981053,0.0001802325,0.00009395617,0.001509513,0.00003585731,0.00007517851],"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":[0.00009145708,0.0002232616,0.0007327248,0.0001536331,0.00007692794,0.0001691891,0.0001157705,0.002366881,0.0004379299,0.01572288,0.8976319,0.08227746],"study_design_scores_gemma":[0.0001835465,0.00007943042,0.003768967,0.0002540307,0.0000112483,0.00004137177,0.000003691246,0.4384516,0.0001123018,0.001969028,0.5549518,0.0001728557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08537573,0.003136897,0.869105,0.003433042,0.00732032,0.0007660761,0.02977447,0.0007470089,0.0003414621],"genre_scores_gemma":[0.9529942,0.0006706971,0.005907846,0.0005601545,0.0006843877,0.00001917202,0.03912805,0.00001905295,0.00001644269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8676185,"threshold_uncertainty_score":0.5522701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878120380812374,"score_gpt":0.2701725144821236,"score_spread":0.2513913106739999,"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."}}