{"id":"W2153987726","doi":"10.1145/1180405.1180442","title":"Optimizing BGP security by exploiting path stability","year":2006,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Border Gateway Protocol; Computer science; Computer network; Software deployment; Routing protocol; Routing (electronic design automation); Authentication (law); Path (computing); Default gateway; Resource (disambiguation); The Internet; Default-free zone; Protocol (science); Computer security; Path vector protocol; Distributed computing; Static routing","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":[0.0006189753,0.0001553829,0.0002018153,0.00004155812,0.0001534038,0.0002726543,0.000590105,0.00005717751,0.0001321148],"category_scores_gemma":[0.00002648145,0.0001337954,0.0001360443,0.000245874,0.00003079945,0.0004608274,0.0002078134,0.0001669948,0.0000340641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005487499,"about_ca_system_score_gemma":0.00002220002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001730173,"about_ca_topic_score_gemma":0.00009534449,"domain_scores_codex":[0.9983734,0.00008471558,0.0003752862,0.0004901037,0.0002986404,0.000377863],"domain_scores_gemma":[0.999386,0.00009170882,0.0001019844,0.0002658845,0.00008860294,0.00006578724],"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":[0.000003643548,0.0003396961,0.0009326591,0.00002855249,0.00003852457,0.00002304589,0.003317193,0.003868787,0.001437451,0.9653306,0.01970963,0.004970219],"study_design_scores_gemma":[0.0001304011,0.00002135034,0.000033816,0.0000110604,0.000005566706,0.000003261824,0.000302643,0.9937454,0.003461763,0.000252039,0.001817866,0.0002148399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.184938,0.0001079332,0.8010691,0.0002221742,0.000100922,0.0000576268,0.000001597725,0.0002886142,0.01321404],"genre_scores_gemma":[0.9727409,0.000001783822,0.02673671,0.0002141067,0.00009092374,0.00000468647,0.000007393843,0.000007355366,0.0001961486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9898766,"threshold_uncertainty_score":0.5456019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121149462361735,"score_gpt":0.2130890052882955,"score_spread":0.2018775106646782,"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."}}