{"id":"W4327903397","doi":"","title":"Methods to Identify the Family of Advanced Persistent Threats Based on Deep Neural Network and n-gram of API calls","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Gram; Artificial neural network; n-gram; Computer science; Artificial intelligence; Psychology; Biology; Genetics","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":[0.0008825735,0.001760449,0.0006948112,0.002659897,0.0003926606,0.000933048,0.001169905,0.001108072,0.002139391],"category_scores_gemma":[0.002118993,0.0003482151,0.00102761,0.00122433,0.0004197477,0.001325325,0.0007318175,0.001707151,0.001445544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008321647,"about_ca_system_score_gemma":0.0009415173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005020554,"about_ca_topic_score_gemma":0.00884567,"domain_scores_codex":[0.999463,0.00007003428,0.00003940863,0.0001742856,0.0001584909,0.00009476053],"domain_scores_gemma":[0.9990656,0.00026838,0.0001950967,0.0001276852,0.0002807613,0.00006258041],"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":[0.0003825767,0.0004552254,0.01293736,0.000251777,0.0002829447,0.0002222835,0.0001047432,0.08173414,0.01871043,0.004287276,0.01149831,0.8691329],"study_design_scores_gemma":[0.00001457379,0.00007107315,0.003124423,0.00002681806,0.00003837951,0.000150079,0.00003134249,0.9841144,0.006563812,0.003436426,0.002410124,0.00001863175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08809219,0.002752828,0.8942264,0.0008178345,0.0003924724,0.000301103,0.001588016,0.006171977,0.0056572],"genre_scores_gemma":[0.5992905,0.001669046,0.3746395,0.0005243962,0.000406763,0.0004793269,0.005240696,0.0003774848,0.01737222],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005020554,"threshold_uncertainty_score":0.009982646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03468993595297194,"score_gpt":0.3188474661157704,"score_spread":0.2841575301627985,"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."}}