{"id":"W3168412632","doi":"10.1109/syscon48628.2021.9447094","title":"Malware System Calls Detection Using Hybrid System","year":2021,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Computer science; Anomaly detection; System call; Intrusion detection system; Anomaly-based intrusion detection system; Malware; Data mining; Anomaly (physics); Process (computing); Machine learning; Artificial intelligence; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002164597,0.0001136319,0.0001530821,0.0000730219,0.0002906155,0.000240025,0.000249016,0.00006313849,0.00003264058],"category_scores_gemma":[0.00001133146,0.0001094235,0.00008076789,0.0004681409,0.00001070986,0.0004409369,0.0001983691,0.0001274784,0.00009004164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002748117,"about_ca_system_score_gemma":0.00005854322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001296339,"about_ca_topic_score_gemma":0.00004965335,"domain_scores_codex":[0.9987471,0.0001418344,0.0002452171,0.0003826066,0.0002538347,0.0002293724],"domain_scores_gemma":[0.9991704,0.00003072545,0.00007727261,0.0004602082,0.0001739965,0.00008745851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007109425,0.0002853166,0.0003832374,0.002926493,0.0002753072,0.003245793,0.001124525,0.0136912,0.1964098,0.4844472,0.002956229,0.2941838],"study_design_scores_gemma":[0.0001266829,0.00002674874,0.00003967236,0.0001276072,0.000007762475,0.001623947,0.0002126291,0.826664,0.1688151,0.0000435103,0.002166403,0.000145966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1465058,0.0001339629,0.8463532,0.00004398225,0.002144512,0.00009323023,0.00000126941,0.0005876082,0.00413645],"genre_scores_gemma":[0.9928663,0.000003666283,0.00663351,0.00007233364,0.0002428801,0.00000554028,0.000001215367,0.000007659152,0.0001668418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8463606,"threshold_uncertainty_score":0.4462162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468409148784555,"score_gpt":0.2130639241376363,"score_spread":0.1983798326497908,"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."}}