{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007986736,0.0005018206,0.0007228584,0.0008168093,0.0006435126,0.001584552,0.001435362,0.0007200523,0.007225744],"category_scores_gemma":[0.002271107,0.0002604235,0.0003614896,0.0005184475,0.0006467054,0.00159105,0.001559213,0.0008436032,0.004452476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006529606,"about_ca_system_score_gemma":0.001085906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007745185,"about_ca_topic_score_gemma":0.0005517019,"domain_scores_codex":[0.9982054,0.000233691,0.0001533006,0.0003786547,0.0007477648,0.000281204],"domain_scores_gemma":[0.9983318,0.0002679748,0.0001709447,0.000749895,0.0004134376,0.00006594002],"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":[0.002121473,0.0007948084,0.006695962,0.0007414239,0.0002766828,0.0008860144,0.0005557845,0.04930577,0.1958631,0.09768853,0.04902035,0.5960501],"study_design_scores_gemma":[0.0002591205,0.0009946059,0.002397987,0.00007544267,0.0002083623,0.001762611,0.00009772956,0.4861274,0.3522913,0.03946961,0.1161756,0.0001403375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.107815,0.000718126,0.7901927,0.000711214,0.000276127,0.001079342,0.00121199,0.05417031,0.04382512],"genre_scores_gemma":[0.8196546,0.0003847251,0.1394823,0.0008415141,0.00008585834,0.0004900118,0.001289004,0.0004432786,0.03732859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007225744,"threshold_uncertainty_score":0.02417254,"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."}}