{"id":"W4412840708","doi":"10.1007/978-3-031-94956-2_6","title":"Dynamic Malware Detection Using LSTM Based GANs and Linux System Calls","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Malware; Computer science; 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":[0.0003412116,0.0008779968,0.0005381118,0.0005029521,0.0002140798,0.0005242909,0.000582705,0.0006628756,0.001891584],"category_scores_gemma":[0.0009219249,0.0002335802,0.0005242961,0.0004337995,0.0002356767,0.0008608752,0.0004544413,0.001117565,0.000807434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004013675,"about_ca_system_score_gemma":0.0003636287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004115978,"about_ca_topic_score_gemma":0.006690338,"domain_scores_codex":[0.9997978,0.00003054129,0.000007346817,0.00006551857,0.00004929506,0.00004947554],"domain_scores_gemma":[0.9996904,0.0001610248,0.00002008816,0.00003242351,0.00008244287,0.00001357426],"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":[0.0004249074,0.0002201197,0.002842425,0.0001195208,0.0001045784,0.0002638906,0.00009185534,0.1642642,0.04201424,0.002867871,0.01050363,0.7762827],"study_design_scores_gemma":[0.000002251605,0.00003852409,0.0007498884,0.000005352338,0.00001254203,0.0000636515,0.00001032884,0.9923833,0.005113005,0.001055081,0.0005597665,0.00000633175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1892345,0.002089396,0.7847106,0.0008393073,0.0007415378,0.0000733417,0.0006855239,0.01020527,0.01142058],"genre_scores_gemma":[0.8867208,0.0004978905,0.1020345,0.0003320878,0.0001478242,0.00004811651,0.0007813124,0.0002334284,0.009204169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004115978,"threshold_uncertainty_score":0.008184016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019650404357657,"score_gpt":0.2882167951715297,"score_spread":0.2680202911279531,"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."}}