{"id":"W4301603697","doi":"10.1007/s00500-022-07546-2","title":"DockerWatch: a two-phase hybrid detection of malware using various static features in container cloud","year":2022,"lang":"en","type":"article","venue":"Soft Computing","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Computer science; Cloud computing; Container (type theory); Overhead (engineering); Virtualization; Distributed computing; Malware; Virtual machine; System call; Software deployment; Executable; Operating system; Intrusion detection system; Embedded system; Kernel (algebra); Real-time computing; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005767912,0.0001889452,0.0002939875,0.0003781002,0.0003312899,0.00005334256,0.0005619448,0.0000275838,0.000007994948],"category_scores_gemma":[0.0001101482,0.0002200743,0.00008185182,0.0008861167,0.00004092774,0.0002568659,0.0007782498,0.0004783522,9.034832e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000343892,"about_ca_system_score_gemma":0.00008938096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003993544,"about_ca_topic_score_gemma":0.00003373563,"domain_scores_codex":[0.9980479,0.0002531712,0.0004762425,0.0004732635,0.0003758523,0.0003734994],"domain_scores_gemma":[0.9988264,0.0002385021,0.0003532485,0.0004283853,0.0001057311,0.0000476699],"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":[0.0001652602,0.0004701481,0.0006386447,0.0001326003,0.00004688096,0.0004429884,0.004150843,0.417313,0.08410728,0.002729019,0.0001021688,0.4897012],"study_design_scores_gemma":[0.001723847,0.0004906377,0.0001630754,0.00006424868,0.00001014087,0.0006833704,0.0003258328,0.9030301,0.07956019,0.01301448,0.0005465971,0.0003874883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3455904,0.0001077511,0.6533009,0.00004180932,0.0003712686,0.0002277605,0.000003913464,0.000339388,0.00001677642],"genre_scores_gemma":[0.9243138,0.000001048099,0.075418,0.0001489583,0.00006158343,0.00001620397,0.00000234888,0.0000217112,0.00001638463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5787234,"threshold_uncertainty_score":0.897437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304023653341001,"score_gpt":0.2960366430559638,"score_spread":0.2829964065225538,"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."}}