{"id":"W120787220","doi":"","title":"Towards a requirements-driven framework for detecting malicious behavior against software systems","year":2011,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Intrusion detection system; Probabilistic logic; Task (project management); Software; Set (abstract data type); Anomaly detection; Bayesian network; Markov process; Software system; Data mining; Data modeling; Machine learning; Software engineering; Artificial intelligence; Systems engineering; Engineering","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":[0.0163423,0.002082021,0.001379258,0.004478373,0.001101782,0.005656483,0.00559239,0.003434278,0.001974011],"category_scores_gemma":[0.02482397,0.002406249,0.003925636,0.00161595,0.003271503,0.005894326,0.003529578,0.0042468,0.001279707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002612875,"about_ca_system_score_gemma":0.006391594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007491688,"about_ca_topic_score_gemma":0.009727479,"domain_scores_codex":[0.9863454,0.004545029,0.00132916,0.001414341,0.005704329,0.0006617592],"domain_scores_gemma":[0.9807202,0.009155839,0.002421016,0.002800374,0.004188865,0.0007136142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002750542,0.0009856657,0.006305668,0.001813376,0.0005780451,0.003281862,0.002930964,0.4365146,0.0293517,0.2855038,0.008547236,0.223912],"study_design_scores_gemma":[0.00005032227,0.0001238916,0.0006872322,0.0002825664,0.0001108618,0.0005535131,0.0004789487,0.8896726,0.00825893,0.08509954,0.01459958,0.00008197734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002320487,0.00007766727,0.9948198,0.0004985677,0.0000140677,0.0003300398,0.0001151601,0.0009578645,0.0008663584],"genre_scores_gemma":[0.04220435,0.0001332695,0.9558768,0.000180611,0.00002781468,0.0004008869,0.0003621781,0.0001561936,0.0006580347],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0163423,"threshold_uncertainty_score":0.08642739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3494342680512341,"score_gpt":0.450485065256244,"score_spread":0.1010507972050099,"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."}}