{"id":"W4406892542","doi":"10.1109/csnet64211.2024.10851720","title":"Identifying APT Attack Stages Using Anomaly Score Calibration","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":"Toronto Metropolitan University; University of Victoria","funders":"","keywords":"Calibration; Computer science; Anomaly (physics); Artificial intelligence; Anomaly detection; Statistics; Mathematics; Physics","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":[0.001509902,0.001323322,0.0008568072,0.003909975,0.000387228,0.001256171,0.001131965,0.0009093934,0.001013325],"category_scores_gemma":[0.008463047,0.0002702098,0.0006687036,0.001652952,0.0005217775,0.002083523,0.001059116,0.001437972,0.0007752598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006677862,"about_ca_system_score_gemma":0.0006730753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003687457,"about_ca_topic_score_gemma":0.004483849,"domain_scores_codex":[0.9986885,0.000187582,0.00009108766,0.0004282607,0.0004686138,0.0001359687],"domain_scores_gemma":[0.9944164,0.001749684,0.001363547,0.0005982508,0.001630945,0.0002412679],"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":[0.0004593193,0.000543201,0.3600041,0.0001391005,0.0002465931,0.0002997367,0.0003232204,0.2428987,0.01911085,0.004412078,0.002997541,0.3685656],"study_design_scores_gemma":[0.000007292403,0.000108283,0.03543139,0.00001228058,0.00002831493,0.0001443575,0.00005694497,0.9542548,0.005041365,0.004137915,0.0007447966,0.00003235048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3789032,0.0002382988,0.6126601,0.0002074313,0.00007674094,0.0001731717,0.0007326782,0.003810741,0.00319765],"genre_scores_gemma":[0.946732,0.00009550519,0.05108699,0.00003027559,0.00002789091,0.00005508215,0.0008520643,0.00006224114,0.001057963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003909975,"threshold_uncertainty_score":0.007985234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07031943392775866,"score_gpt":0.3070230652099596,"score_spread":0.236703631282201,"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."}}