{"id":"W4210712071","doi":"10.1109/globecom46510.2021.9685953","title":"Towards Lightweight and Efficient Distributed Intrusion Detection Framework","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Global Communications Conference (GLOBECOM)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Intrusion detection system; Intrusion prevention system; Distributed computing; Computer security","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000362832,0.0002798908,0.0003186432,0.00007657805,0.0009462975,0.0006619218,0.001694815,0.0002807531,0.0001688712],"category_scores_gemma":[0.0002546044,0.0002918016,0.0001163998,0.001767807,0.0002178296,0.0004086616,0.001805625,0.0005867787,0.0001186939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587747,"about_ca_system_score_gemma":0.0003011648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001744942,"about_ca_topic_score_gemma":0.0006378153,"domain_scores_codex":[0.9975181,0.000518737,0.0004943575,0.0006527639,0.0004035925,0.0004124256],"domain_scores_gemma":[0.9959634,0.0001846135,0.0002018159,0.00275502,0.0006575186,0.000237662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002476868,0.0004583703,0.0002799088,0.00002732988,0.00007058118,0.00002035533,0.0005008566,0.0002807791,0.002023273,0.5060298,0.0008905489,0.4893934],"study_design_scores_gemma":[0.000995503,0.0002713665,0.0114327,0.0004664966,0.00009745506,0.0003931923,0.0004300371,0.7226911,0.02301022,0.1173663,0.1215531,0.001292506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05659785,0.001992621,0.9274387,0.006595359,0.001393517,0.0002577358,0.00007028882,0.000266353,0.005387557],"genre_scores_gemma":[0.9623985,0.002513985,0.03452471,0.000323162,0.0001027063,0.00004229243,0.00005494014,0.000008253681,0.00003143856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9058006,"threshold_uncertainty_score":0.9999534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427529682552576,"score_gpt":0.273540846969787,"score_spread":0.2492655501442613,"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."}}