{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009178855,0.00005068585,0.00006692582,0.00007885471,0.00006639665,0.00004177582,0.0001314462,0.00002241138,0.0000034479],"category_scores_gemma":[0.00008681334,0.00004685001,0.0000409427,0.0001429095,0.00001268097,0.0004685202,0.00003345528,0.00002357703,0.000004729419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006286919,"about_ca_system_score_gemma":0.0001558129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007526323,"about_ca_topic_score_gemma":0.00001039365,"domain_scores_codex":[0.9992521,0.00003944397,0.0001489528,0.0001540925,0.0003155709,0.00008983062],"domain_scores_gemma":[0.9991153,0.00003350577,0.00007655609,0.0002094696,0.0005279466,0.00003724292],"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":[0.0000948772,0.0002179973,0.00495289,0.00005318501,0.00009439696,5.730618e-7,0.002936099,0.3320354,0.01529561,0.003472373,0.006191626,0.634655],"study_design_scores_gemma":[0.0005711806,0.00009591187,0.000544902,0.0000168921,0.00003332801,0.000004414071,0.0001228037,0.9973096,0.0008170248,0.0003389183,0.00008523267,0.00005979163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5296874,0.00002438258,0.4692268,0.0000716984,0.000259359,0.0001233197,9.226893e-7,0.00003362885,0.0005724461],"genre_scores_gemma":[0.9839658,8.421209e-7,0.01550067,0.00006316428,0.00003440357,0.00001572833,0.000005327451,0.000003092382,0.0004110417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6652742,"threshold_uncertainty_score":0.1910488,"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."}}