{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008757872,0.001721097,0.000932004,0.003359622,0.0007482697,0.001337539,0.001619889,0.001595431,0.00307181],"category_scores_gemma":[0.004063695,0.0003818501,0.0006837418,0.003680119,0.0003716544,0.001696934,0.001495378,0.001291874,0.00586896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009850604,"about_ca_system_score_gemma":0.0008946084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01040995,"about_ca_topic_score_gemma":0.01656192,"domain_scores_codex":[0.9987482,0.0001526259,0.0001606161,0.0002808684,0.0004537361,0.0002039489],"domain_scores_gemma":[0.9984534,0.0003222893,0.0002303394,0.0003876381,0.0004314181,0.0001749428],"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":[0.000543164,0.0004365482,0.03038053,0.001362802,0.0002109709,0.000406817,0.0003363198,0.008594848,0.00335744,0.002259238,0.9167013,0.03541005],"study_design_scores_gemma":[0.0005565978,0.0003479825,0.130036,0.0005107493,0.0001248053,0.00111414,0.0009184434,0.04425034,0.005757298,0.004253334,0.8119329,0.0001974326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0384605,0.000768889,0.001225086,0.0004374902,0.0001910659,0.0002027408,0.9520251,0.002978926,0.003710163],"genre_scores_gemma":[0.01955121,0.0002077452,0.001486685,0.00008512865,0.00003317764,0.0001717003,0.9775876,0.00006635809,0.0008104373],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01040995,"threshold_uncertainty_score":0.02069873,"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."}}