{"id":"W2102965185","doi":"10.1109/jsac.2010.101008","title":"Keychain-Based Signatures for Securing BGP","year":2010,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Hash function; Computer network; Border Gateway Protocol; Software deployment; Overhead (engineering); Merkle tree; Public-key cryptography; Authentication (law); The Internet; Distributed computing; Routing protocol; Computer security; Hash chain; Routing (electronic design automation); Operating system","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":[0.001052595,0.0003877727,0.0004516003,0.0006984929,0.0008052177,0.0009546198,0.0008056636,0.0007301631,0.002069862],"category_scores_gemma":[0.003280489,0.0002704748,0.0001894461,0.001118043,0.0006940084,0.003233626,0.001376204,0.0009183362,0.0007628996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008024926,"about_ca_system_score_gemma":0.001582596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218757,"about_ca_topic_score_gemma":0.001086918,"domain_scores_codex":[0.9985591,0.0003980641,0.0001044648,0.0001665301,0.0005997619,0.0001721135],"domain_scores_gemma":[0.9971967,0.0005634023,0.0003040351,0.001191079,0.0005979323,0.0001467606],"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":[0.001496771,0.0003822789,0.005210569,0.0004753085,0.00007063927,0.0004690279,0.0005779059,0.1903815,0.133902,0.1281621,0.008781224,0.5300906],"study_design_scores_gemma":[0.0001710389,0.0004933756,0.0008323391,0.0000414462,0.00004129501,0.0005589704,0.0001109033,0.8460036,0.09124671,0.04251746,0.01789338,0.00008953558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1554745,0.001329603,0.8279397,0.0005779925,0.0002251741,0.0003016477,0.0003416321,0.004431781,0.009377861],"genre_scores_gemma":[0.9134485,0.0004552118,0.08320425,0.00005958053,0.00005206866,0.00009174537,0.0002395453,0.00006231124,0.002386849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002069862,"threshold_uncertainty_score":0.006924391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088796696257487,"score_gpt":0.2894777779688377,"score_spread":0.2685898110062628,"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."}}