{"id":"W4408140093","doi":"10.18280/mmep.120227","title":"Exploiting Anomalies with Data Mining Techniques to Enhance Cloud Security","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Data mining; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004323733,0.0001448307,0.0001867065,0.0001068208,0.0001161558,0.0002018558,0.0004628651,0.00005843176,0.00000159068],"category_scores_gemma":[0.00003499364,0.0001246735,0.00001436608,0.0003361692,0.00001756876,0.000329611,0.0004134581,0.0001604468,0.000002678395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000144691,"about_ca_system_score_gemma":0.00001174873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006789625,"about_ca_topic_score_gemma":0.000001216965,"domain_scores_codex":[0.9989764,0.00001307937,0.0002304166,0.0004011062,0.0001344909,0.0002445104],"domain_scores_gemma":[0.999219,0.0001222894,0.00003104743,0.0005191124,0.00003523999,0.00007333894],"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":[0.00002500987,0.0001747973,0.00002011346,0.00260035,0.00009849246,0.00001268576,0.01073738,0.5565084,0.001729444,0.3515586,0.0007739277,0.07576089],"study_design_scores_gemma":[0.00003296133,0.00004857548,3.738203e-7,0.001123934,0.00000635422,0.000009394669,0.00002645004,0.9763096,0.003543373,0.01670032,0.002041059,0.0001576043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.035528,0.0001872455,0.9625992,0.0004433375,0.00008028893,0.0001673496,9.517515e-7,0.0004595169,0.0005341601],"genre_scores_gemma":[0.5272763,0.00004215384,0.4724809,0.00006390125,0.00004570208,0.00003296462,0.000001108013,0.000008786265,0.00004815901],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4917484,"threshold_uncertainty_score":0.5084037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176715919249645,"score_gpt":0.2426357429569717,"score_spread":0.2208685837644752,"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."}}