{"id":"W4324356279","doi":"10.47611/jsrhs.v11i3.2875","title":"A Method For Network Intrusion Detection Using Deep Learning","year":2022,"lang":"en","type":"article","venue":"Journal of Student Research","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Intrusion detection system; Computer security; Anomaly-based intrusion detection system; Botnet; SAFER; Network security; Anomaly detection; The Internet; Denial-of-service attack; Artificial intelligence; Malware; Machine learning; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001516486,0.001410023,0.001128415,0.002092528,0.0007110806,0.001300453,0.002641753,0.002116348,0.003372733],"category_scores_gemma":[0.003322933,0.0007786471,0.001372835,0.001468775,0.0007414804,0.002009008,0.001925549,0.003336593,0.001624523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497979,"about_ca_system_score_gemma":0.00173907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007139023,"about_ca_topic_score_gemma":0.009033699,"domain_scores_codex":[0.998858,0.0001822239,0.00007616526,0.0002925404,0.0004466105,0.0001443803],"domain_scores_gemma":[0.9991587,0.0002268853,0.00007526667,0.0001414954,0.0003444427,0.00005315517],"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":[0.0002013071,0.0002263423,0.002946575,0.0001799032,0.0002609912,0.0001631172,0.00008642246,0.1216008,0.008722414,0.01415608,0.0246192,0.8268368],"study_design_scores_gemma":[0.00001787319,0.00003696672,0.000330354,0.00001946417,0.00002039746,0.00007990112,0.00001011388,0.9844893,0.003582716,0.006694628,0.004704473,0.00001387942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005273794,0.0005959634,0.9859147,0.0005978351,0.0002624058,0.0001311146,0.000359125,0.005229566,0.001635517],"genre_scores_gemma":[0.1936018,0.0009053664,0.7875186,0.00129014,0.0003059709,0.0006182026,0.002139929,0.0005461764,0.01307389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007139023,"threshold_uncertainty_score":0.01419497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203804503939712,"score_gpt":0.4382820555386684,"score_spread":0.3179016051446972,"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."}}