{"id":"W7115180173","doi":"10.18280/isi.301005","title":"Darknet Traffic and Application Classification Using Heterogeneous Graph Neural Network","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Graph; Identification (biology); Graph theory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000421761,0.000897038,0.0003818538,0.00253535,0.0003388706,0.0006775154,0.0008428303,0.0007242361,0.0009396028],"category_scores_gemma":[0.001697361,0.0001753265,0.000486442,0.001222829,0.0002956714,0.000924353,0.0004636894,0.0005701369,0.0003573821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135393,"about_ca_system_score_gemma":0.0004620971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01738254,"about_ca_topic_score_gemma":0.02314031,"domain_scores_codex":[0.999752,0.00004542305,0.00001434491,0.00007923756,0.00005714331,0.00005193321],"domain_scores_gemma":[0.9993832,0.0002456571,0.00009175752,0.00007124845,0.0001698928,0.00003822186],"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":[0.0004711054,0.0006377666,0.03536592,0.0001239375,0.0001407459,0.0002524436,0.00009773241,0.6550484,0.006880407,0.003625851,0.007968875,0.2893867],"study_design_scores_gemma":[0.00000262432,0.00001831806,0.001632373,0.000003003237,0.000005549369,0.00001086929,0.0000148413,0.9959214,0.0008740827,0.001223662,0.0002893947,0.00000382685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.78647,0.0006594018,0.1992298,0.0007422955,0.000156403,0.000219947,0.003628683,0.003252235,0.005641225],"genre_scores_gemma":[0.9634327,0.0001604861,0.02872129,0.00008473363,0.00003726085,0.00008179757,0.004633473,0.00004749203,0.002800902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01738254,"threshold_uncertainty_score":0.03456271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527768648966228,"score_gpt":0.2411729560073403,"score_spread":0.225895269517678,"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."}}