{"id":"W4412481451","doi":"10.1007/s11416-025-00567-z","title":"Multiscale and Kolmogorov entropies as effective features for malware detection","year":2025,"lang":"en","type":"article","venue":"Journal of Computer Virology and Hacking Techniques","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Northern Borders University; Prince Sattam bin Abdulaziz University","keywords":"Malware; Computer science; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062705,0.0004107242,0.0004470771,0.002277373,0.0002671973,0.0008497403,0.0003207634,0.0005316163,0.0006093113],"category_scores_gemma":[0.003504932,0.0002080766,0.0003894419,0.0007246473,0.0007278777,0.001378696,0.0007855151,0.0006140929,0.0001128735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003401383,"about_ca_system_score_gemma":0.0002067619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005960254,"about_ca_topic_score_gemma":0.0007866361,"domain_scores_codex":[0.9997715,0.00005255097,0.00001415902,0.00003419977,0.00009093503,0.0000366008],"domain_scores_gemma":[0.9980549,0.001080667,0.0003957957,0.0001407979,0.0001826473,0.0001452219],"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":[0.001381509,0.000558286,0.05022297,0.0005274341,0.0004240611,0.001087594,0.0006866977,0.296799,0.189569,0.1590462,0.004327821,0.2953694],"study_design_scores_gemma":[0.000007962378,0.0001074224,0.01824211,0.00001574754,0.00004357782,0.000155873,0.00004905383,0.962241,0.004293937,0.01436068,0.0004387851,0.00004381393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7257649,0.001483704,0.2678837,0.0003495498,0.0001271613,0.00004366588,0.0002950838,0.0004046131,0.003647611],"genre_scores_gemma":[0.9893267,0.0001955609,0.009762739,0.00002362399,0.00008773644,0.00001061856,0.0000673397,0.00002883644,0.0004968523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002277373,"threshold_uncertainty_score":0.003316224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001852850857130206,"score_gpt":0.2407164729874332,"score_spread":0.238863622130303,"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."}}