{"id":"W4400351699","doi":"10.1109/smartnets61466.2024.10577653","title":"Combating Malware Traffic in Emerging Networks: A Collaborative Learning Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Malware; Computer science; Computer security; Human–computer interaction; Computer network; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003368094,0.0008421856,0.001059164,0.001447049,0.000969642,0.001557742,0.002508992,0.001803373,0.0006276467],"category_scores_gemma":[0.006170527,0.000395517,0.0006577452,0.0007314915,0.00136624,0.003167504,0.002804407,0.001517321,0.000190195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093111,"about_ca_system_score_gemma":0.001345857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003074411,"about_ca_topic_score_gemma":0.003695468,"domain_scores_codex":[0.9984862,0.0004541764,0.00006195621,0.0004320473,0.0003271213,0.0002384556],"domain_scores_gemma":[0.9961063,0.001745638,0.0004477613,0.000710204,0.0007413322,0.0002487231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001653996,0.0004918101,0.005351348,0.00005368362,0.0001258876,0.0001689474,0.0002576037,0.806035,0.004833275,0.009635647,0.001273058,0.1716084],"study_design_scores_gemma":[0.000004799449,0.00004137327,0.0001671991,0.000003012237,0.000008572483,0.00001883925,0.00002609491,0.9936308,0.0009849875,0.004890593,0.0002196192,0.000004069737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0585353,0.000160248,0.9379808,0.000515399,0.00003591067,0.00006930655,0.00002535712,0.0005973901,0.002080213],"genre_scores_gemma":[0.8891589,0.0001084061,0.1087769,0.0002088956,0.00006158141,0.00006226793,0.00006618066,0.00003794275,0.001518957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003368094,"threshold_uncertainty_score":0.01781237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008994607357304537,"score_gpt":0.2341537827583235,"score_spread":0.225159175401019,"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."}}