{"id":"W3002277530","doi":"10.1007/s10723-020-09510-6","title":"Detecting Cryptomining Malware: a Deep Learning Approach for Static and Dynamic Analysis","year":2020,"lang":"en","type":"article","venue":"Journal of Grid Computing","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":119,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Malware; Static analysis; Artificial intelligence; Data mining; Machine learning; Computer security; Programming language","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":[0.0006446796,0.001049983,0.0006995178,0.001868553,0.0005215292,0.001140896,0.001188186,0.0008411967,0.001966601],"category_scores_gemma":[0.001472139,0.0004266436,0.0007370948,0.0009648468,0.0004575017,0.001447622,0.00138754,0.00159839,0.0008001583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000916608,"about_ca_system_score_gemma":0.001309359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008093658,"about_ca_topic_score_gemma":0.01361702,"domain_scores_codex":[0.9996175,0.00004383314,0.00002197946,0.00009453181,0.0001081322,0.000114168],"domain_scores_gemma":[0.9992022,0.0002752105,0.00009259527,0.0001209893,0.0002412213,0.00006784443],"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":[0.0004522845,0.000725852,0.01346561,0.0001290654,0.0001550588,0.0001978938,0.0001244903,0.09857413,0.0335625,0.005806966,0.006491172,0.840315],"study_design_scores_gemma":[0.000004683087,0.00004144601,0.001032289,0.000007908949,0.00001454327,0.00003282648,0.00002555888,0.9897891,0.004392537,0.004041534,0.0006101624,0.000007452023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1867034,0.0009278759,0.8010423,0.0006884146,0.0001308643,0.0001388163,0.0007560294,0.005335386,0.004277047],"genre_scores_gemma":[0.8356367,0.0003752217,0.1546569,0.0002646874,0.00008371624,0.00007931002,0.001095548,0.0001809503,0.007626981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008093658,"threshold_uncertainty_score":0.01609308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135759447445652,"score_gpt":0.2665488049960827,"score_spread":0.2529728602515175,"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."}}