{"id":"W3126317615","doi":"10.1109/cyberc49757.2020.00022","title":"Intelligent Cybersecurity Situational Awareness Model Based on Deep Neural Network","year":2020,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Situation awareness; Artificial neural network; Computer science; Artificial intelligence; Deep learning; Machine learning; Situation analysis; Perception; Network model; Network security; Data mining; Computer security; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002984068,0.0004955027,0.0003559011,0.000421225,0.0002402802,0.0007055814,0.0007375526,0.0004678734,0.001116833],"category_scores_gemma":[0.0006041624,0.0002715388,0.000465331,0.0002811658,0.0002954333,0.001349662,0.0005424232,0.0008049076,0.0001323891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007417179,"about_ca_system_score_gemma":0.000753482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01208882,"about_ca_topic_score_gemma":0.00696592,"domain_scores_codex":[0.999819,0.00002910016,0.00001150271,0.00005923504,0.00005236405,0.00002882022],"domain_scores_gemma":[0.9998461,0.00003559577,0.00002492438,0.000009545151,0.00007038895,0.00001340401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005750342,0.00005516249,0.002137049,0.00003486342,0.00004088677,0.00005561566,0.00009146825,0.9604277,0.002645931,0.003746541,0.0005198037,0.03018747],"study_design_scores_gemma":[0.000001445678,0.000008828157,0.0002248366,0.00000157098,0.000004104629,0.000004414502,0.000004870836,0.9986044,0.0002126992,0.000848888,0.00008149724,0.000002464491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1331407,0.0004399452,0.8573639,0.0005274743,0.00008088826,0.00006363784,0.0001603452,0.0008626206,0.007360586],"genre_scores_gemma":[0.9795691,0.0002358532,0.01746196,0.00005722194,0.00001631273,0.0000658407,0.000120112,0.00001567524,0.002457831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01208882,"threshold_uncertainty_score":0.02403688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03279115588718622,"score_gpt":0.2494951731011778,"score_spread":0.2167040172139916,"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."}}