{"id":"W2889323984","doi":"10.1109/ccece.2018.8447597","title":"Sequence to Sequence Pattern Learning Algorithm for Real-Time Anomaly Detection in Network Traffic","year":2018,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Network packet; Sequence (biology); Algorithm; Anomaly detection; Intrusion detection system; Artificial neural network; Artificial intelligence; Data mining; Real-time computing; Computer network","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":[0.001683511,0.001192069,0.001181163,0.001772326,0.0004515996,0.0006679508,0.001553655,0.00115971,0.003117469],"category_scores_gemma":[0.00485845,0.0004115582,0.0008481321,0.0015676,0.000450576,0.001692543,0.0007954972,0.002261583,0.001339198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009916476,"about_ca_system_score_gemma":0.001558094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007187538,"about_ca_topic_score_gemma":0.00622484,"domain_scores_codex":[0.9992022,0.0001804628,0.00009788651,0.0002519902,0.000193146,0.00007422586],"domain_scores_gemma":[0.9983857,0.000854179,0.0001482199,0.0001594405,0.000388662,0.00006388636],"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":[0.000317629,0.0003422137,0.002907365,0.0001016038,0.0001247972,0.0001168225,0.00007690691,0.2295468,0.005237526,0.003851308,0.005655985,0.751721],"study_design_scores_gemma":[0.000008578941,0.00004281036,0.0001688015,0.000003142809,0.00000495632,0.00002283358,0.000006399864,0.9963205,0.001031017,0.001987601,0.0003991119,0.00000432335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02904154,0.0004784785,0.9625835,0.0002691261,0.00009782808,0.0001056367,0.0003295341,0.006231841,0.0008625155],"genre_scores_gemma":[0.3653143,0.000395312,0.6279131,0.0002749813,0.00007975609,0.0003983661,0.001834154,0.0002877218,0.003502257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007187538,"threshold_uncertainty_score":0.01429141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201870182241831,"score_gpt":0.2598087419066299,"score_spread":0.2396217236824469,"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."}}