{"id":"W2092446507","doi":"10.1109/aina.2014.59","title":"MARD: A Framework for Metamorphic Malware Analysis and Real-Time Detection","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Opcode; Computer science; Malware; Obfuscation; Malware analysis; Process (computing); Computer security; Operating system","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":[0.002082019,0.001954413,0.001423171,0.003361853,0.0007083578,0.002518237,0.003985214,0.001985054,0.005502827],"category_scores_gemma":[0.004614936,0.001800623,0.00274938,0.0008468368,0.001545109,0.003113968,0.003453991,0.003074363,0.00419732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110719,"about_ca_system_score_gemma":0.001617237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002373872,"about_ca_topic_score_gemma":0.003074744,"domain_scores_codex":[0.9981129,0.0002636441,0.0001713889,0.0003678546,0.0008975762,0.0001866303],"domain_scores_gemma":[0.9980405,0.0006716081,0.000256072,0.0005478354,0.0003821066,0.0001019475],"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":[0.0009838067,0.0004915259,0.00661674,0.001866411,0.0004811311,0.001208518,0.0005731556,0.07364476,0.06659431,0.07902752,0.07163662,0.6968755],"study_design_scores_gemma":[0.0001433273,0.0002232693,0.001159994,0.0001989855,0.0001130589,0.001639794,0.00005959463,0.7878686,0.05984224,0.04186665,0.1066476,0.0002369237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001172843,0.0002668461,0.9437525,0.00009227364,0.00005245053,0.0001874246,0.0002820669,0.05307705,0.001116635],"genre_scores_gemma":[0.0460486,0.0005455547,0.9439247,0.0002907157,0.00008789673,0.0005120371,0.001483383,0.003520855,0.003586176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005502827,"threshold_uncertainty_score":0.01840878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007238375779190843,"score_gpt":0.253463130720107,"score_spread":0.2462247549409161,"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."}}