{"id":"W1981229864","doi":"10.1109/iccnc.2013.6504162","title":"Automated malware classification based on network behavior","year":2013,"lang":"en","type":"article","venue":"2013 International Conference on Computing, Networking and Communications (ICNC)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Malware; Computer science; Leverage (statistics); Cryptovirology; Computer security; The Internet; Network security; Artificial intelligence; Malware analysis; Machine learning; Data mining; World Wide Web","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":[0.0003481488,0.0006157421,0.000586632,0.006906555,0.0004764691,0.000873448,0.0003483775,0.0004106598,0.0005835588],"category_scores_gemma":[0.002119996,0.0001470719,0.0003439763,0.001496669,0.0002565352,0.0007717266,0.0004144214,0.0003312834,0.0007267101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004068148,"about_ca_system_score_gemma":0.0004081997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002665098,"about_ca_topic_score_gemma":0.003511045,"domain_scores_codex":[0.9994808,0.00007345248,0.00003893153,0.0001109989,0.0002326849,0.00006316686],"domain_scores_gemma":[0.9984107,0.0004737667,0.0003419956,0.0001304699,0.0005663101,0.00007683721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007302669,0.0005296906,0.1614996,0.000291425,0.000144836,0.0009401987,0.0005737443,0.0240594,0.09138053,0.001712792,0.006764823,0.7113727],"study_design_scores_gemma":[0.00001174078,0.0001522657,0.09381107,0.00005647677,0.00007233314,0.001113196,0.0003544258,0.8595887,0.03799085,0.002522827,0.004280164,0.00004598133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.888997,0.0006588459,0.09964386,0.0002316634,0.0000680318,0.000320829,0.001509537,0.00388524,0.004685091],"genre_scores_gemma":[0.9489707,0.0003526122,0.0466654,0.00003875183,0.00005227216,0.0001069742,0.002049441,0.00006827406,0.001695589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006906555,"threshold_uncertainty_score":0.005299151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06834772293007085,"score_gpt":0.3245046573709163,"score_spread":0.2561569344408455,"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."}}