{"id":"W1904820966","doi":"10.1109/ares.2015.101","title":"A Performance Evaluation of Hash Functions for IP Reputation Lookup Using Bloom Filters","year":2015,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Bloom filter; Computer science; Hash function; Scalability; Reputation; Cryptography; Computer network; Set (abstract data type); Computer security; Database","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":[0.005846825,0.001196935,0.001388036,0.002593697,0.001006969,0.001982891,0.00194573,0.00181332,0.002246146],"category_scores_gemma":[0.02208859,0.0003456479,0.0005220516,0.002064019,0.0006436409,0.003537059,0.0008937619,0.0005976859,0.001068671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002438206,"about_ca_system_score_gemma":0.001697163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005802328,"about_ca_topic_score_gemma":0.002604301,"domain_scores_codex":[0.9942978,0.001614506,0.000621932,0.000743262,0.002042834,0.0006796236],"domain_scores_gemma":[0.9773076,0.0146016,0.001299999,0.002234662,0.003945724,0.0006104689],"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":[0.01939144,0.002145777,0.05509755,0.001847547,0.0008270263,0.0007533083,0.0007649603,0.2422304,0.07837841,0.009498497,0.0104169,0.5786481],"study_design_scores_gemma":[0.0002490266,0.002230453,0.007999239,0.00005540273,0.000131055,0.0005538023,0.0002287366,0.9284356,0.05656198,0.001331611,0.002142727,0.00008032885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8892365,0.003585778,0.08965651,0.0003554304,0.0002636975,0.0004362335,0.001229146,0.009085291,0.006151383],"genre_scores_gemma":[0.9501727,0.0004487319,0.04661112,0.00005060101,0.00003202927,0.00009907679,0.0009886475,0.0000941601,0.001502942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005846825,"threshold_uncertainty_score":0.03092134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1990419530728705,"score_gpt":0.3194310982633604,"score_spread":0.12038914519049,"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."}}