{"id":"W4292074807","doi":"10.1109/host54066.2022.9840140","title":"Oblivious Intrusion Detection System","year":2022,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Intrusion detection system; Byte; Encryption; Plaintext; Benchmarking; Matching (statistics); Implementation; Generality; Data mining; Computer network; Operating system; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003238388,0.00005864919,0.00008189715,0.00009743652,0.0003057475,0.00008116992,0.0004390148,0.00001424055,0.0001065689],"category_scores_gemma":[0.000004980524,0.00005119234,0.00006561037,0.0003414873,0.000004719573,0.0001092352,0.0003891508,0.0001192914,0.00005408648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204806,"about_ca_system_score_gemma":0.00001245569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003787834,"about_ca_topic_score_gemma":0.00003930105,"domain_scores_codex":[0.9991587,0.0000821017,0.000148388,0.0002189492,0.0002587551,0.0001331026],"domain_scores_gemma":[0.9997307,0.00002036865,0.00005216703,0.0001388734,0.0000276277,0.00003025589],"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":[0.000004058429,0.0000447274,0.00002422364,0.00001049908,0.00002522303,0.00003434591,0.001142209,0.02227559,0.0007009518,0.9007704,0.0008908265,0.07407691],"study_design_scores_gemma":[0.00006221831,0.00005872567,0.00002578455,0.000002272271,0.000003539144,0.00005806186,0.000408178,0.9958038,0.0004214845,0.000006848155,0.003078054,0.00007098009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05896162,0.00002438321,0.9353917,0.00008636201,0.000602117,0.00004579913,1.899114e-7,0.0003349684,0.004552837],"genre_scores_gemma":[0.9973961,3.237972e-7,0.001733217,0.0001302124,0.00004879117,0.00001165124,7.255774e-7,0.00000360542,0.0006754415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9735283,"threshold_uncertainty_score":0.2351594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007429638122436448,"score_gpt":0.1979117400088274,"score_spread":0.1904821018863909,"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."}}