{"id":"W4405907177","doi":"10.1109/msec.2024.3492132","title":"ThreatScout: Automated Threat Hunting Solution Using Machine Reasoning","year":2024,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"","keywords":"Computer science; Artificial intelligence; Automated reasoning; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000459855,0.000281583,0.0002477285,0.0002956603,0.0003464155,0.0005003878,0.0007960871,0.0001431054,0.00001469403],"category_scores_gemma":[0.0001041449,0.0002874374,0.0001363354,0.0009353392,0.00005915494,0.001853018,0.0004456544,0.0004480102,0.00005424415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918408,"about_ca_system_score_gemma":0.0001055177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004329407,"about_ca_topic_score_gemma":0.00003401132,"domain_scores_codex":[0.9979321,0.0000868325,0.0003687434,0.0007411717,0.0003711584,0.0004999487],"domain_scores_gemma":[0.9987882,0.00009395158,0.0001138474,0.0007922692,0.0001067839,0.0001049862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007788701,0.0005212777,0.003136805,0.001309337,0.0004676403,0.001395121,0.02249011,0.002810291,0.4401001,0.1251686,0.004705339,0.3978176],"study_design_scores_gemma":[0.0001093763,0.00004551594,0.00009096313,0.0002921054,0.00001684305,0.0001853593,0.000008446023,0.8479203,0.1214614,0.02773066,0.00182297,0.0003160961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0716449,0.001303026,0.9126,0.0003119285,0.001105834,0.0002742139,0.000006100809,0.0122379,0.0005160447],"genre_scores_gemma":[0.8447273,0.00005433539,0.1548653,0.00008442741,0.0001770426,0.00001595066,0.000003962158,0.00003638797,0.0000353266],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.84511,"threshold_uncertainty_score":0.9999578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091807385054465,"score_gpt":0.3121394986568999,"score_spread":0.2912214248063553,"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."}}