{"id":"W4317716297","doi":"10.1186/s13677-022-00356-9","title":"Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment","year":2023,"lang":"en","type":"article","venue":"Journal of Cloud Computing Advances Systems and Applications","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial neural network; Cloud computing; Cyber-attack; Artificial intelligence; Machine learning; Bayesian network; Naive Bayes classifier; Data mining; Computer security; Support vector machine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001097962,0.0001847643,0.0003543364,0.0001512781,0.0004751622,0.0001778839,0.0003936757,0.00008563275,0.000001004309],"category_scores_gemma":[0.00002217657,0.0001710969,0.0001010842,0.0006426474,0.00005463758,0.0003683121,0.0001766849,0.0003014424,0.000004984312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008075072,"about_ca_system_score_gemma":0.00002680033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001233776,"about_ca_topic_score_gemma":0.000006580108,"domain_scores_codex":[0.997907,0.0001250648,0.0009674022,0.0003509684,0.0002794075,0.0003701791],"domain_scores_gemma":[0.9982044,0.0003859177,0.0009143233,0.0002582075,0.0001200591,0.0001171675],"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":[0.00001639053,0.00004817813,0.001055028,0.00007651798,0.00001781703,0.000004013904,0.0003975522,0.9625056,0.0001197323,0.001710542,0.0008150481,0.03323361],"study_design_scores_gemma":[0.00069423,0.0001122051,0.002788042,0.0001939811,0.00001004818,0.00006297355,0.0002279097,0.9206193,0.00001758026,0.0002161227,0.07491057,0.0001470336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1490907,0.00258879,0.8455214,0.0002913526,0.001659359,0.0007021661,0.00001042403,0.0001116526,0.00002420906],"genre_scores_gemma":[0.9825564,0.0003717754,0.01394443,0.00007661132,0.00284435,0.00003689445,0.000009189346,0.00002028867,0.0001400383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8334658,"threshold_uncertainty_score":0.6977129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837057785187663,"score_gpt":0.3090265440999345,"score_spread":0.2606559662480578,"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."}}