{"id":"W2916796522","doi":"10.1109/glocom.2018.8647489","title":"Real-Time Intrusion Detection in Network Traffic Using Adaptive and Auto-Scaling Stream Processor","year":2018,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Stream processing; Intrusion detection system; Particle swarm optimization; Porting; Real-time computing; Flexibility (engineering); Software deployment; Distributed computing; Data mining; Algorithm; Operating system; Software","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":[0.00043367,0.0001497422,0.0001684396,0.0001486864,0.0003245207,0.000133238,0.0001967519,0.0001339405,0.00004020738],"category_scores_gemma":[0.00002015402,0.0001387791,0.00002786139,0.0009005751,0.00007586439,0.0006858615,0.0001877173,0.0001665475,0.00002363036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008585074,"about_ca_system_score_gemma":0.00004015033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001849125,"about_ca_topic_score_gemma":0.0004218476,"domain_scores_codex":[0.9986594,0.0001046176,0.0002679365,0.0004517826,0.0001825812,0.0003336614],"domain_scores_gemma":[0.9994574,0.00006419323,0.00009745801,0.0002077993,0.00009193376,0.00008123189],"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":[0.0001879666,0.0001090323,0.00009318703,0.00002171234,0.00001687709,0.0000102003,0.002890841,0.0142588,0.02123032,0.003462967,0.0001283135,0.9575898],"study_design_scores_gemma":[0.0002525691,0.0003072901,0.000675887,0.00007695195,0.000004594884,0.00002781798,0.00003567052,0.9895089,0.006409214,0.002360483,0.0001639187,0.0001766741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.843491,0.00002562855,0.1544165,0.00004661979,0.0003309037,0.0001936626,1.687893e-7,0.0002570476,0.00123848],"genre_scores_gemma":[0.9727334,0.00004593867,0.02660549,0.00006016471,0.0004782103,0.000005759178,4.386927e-7,0.000009995914,0.00006059261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9752501,"threshold_uncertainty_score":0.5659246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467064222516791,"score_gpt":0.2376432969901038,"score_spread":0.2229726547649359,"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."}}