{"id":"W4384665691","doi":"10.22215/etd/2023-15499","title":"A Cybersecurity Framework Using Machine Learning for Red Team Operators","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer security; Hidden Markov model; Artificial intelligence; Machine learning","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":[0.00162448,0.0005596368,0.0004635738,0.0007077863,0.0007746897,0.00154005,0.001499896,0.0009600107,0.00273204],"category_scores_gemma":[0.002006367,0.0003528541,0.000676919,0.0004569543,0.0008982919,0.0020284,0.001264961,0.00159315,0.0005894435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366621,"about_ca_system_score_gemma":0.002035538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007085008,"about_ca_topic_score_gemma":0.008309552,"domain_scores_codex":[0.9994221,0.0001903344,0.00002773691,0.0001366201,0.0001561201,0.00006714321],"domain_scores_gemma":[0.9991673,0.0003974316,0.00007553064,0.0001081493,0.0001708615,0.00008077392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006525179,0.0003404633,0.001934443,0.00009707535,0.00005187939,0.0002000187,0.0003145981,0.6850563,0.003460599,0.1607638,0.006021214,0.1416944],"study_design_scores_gemma":[0.000003359367,0.00001280197,0.00009932117,0.000007878406,0.000003601271,0.0000151788,0.00001730621,0.9841171,0.000370721,0.01343206,0.001915806,0.000004883731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007890476,0.0001469731,0.9863252,0.0005163877,0.00003281596,0.00008437596,0.00004339095,0.000988571,0.003971798],"genre_scores_gemma":[0.247682,0.0002786233,0.7466547,0.0001317113,0.00005348205,0.0002413916,0.0001670343,0.0001147753,0.004676199],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007085008,"threshold_uncertainty_score":0.0140875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088226660964405,"score_gpt":0.2893822216526434,"score_spread":0.2684999550429993,"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."}}