{"id":"W2161983637","doi":"10.1109/glocom.2009.5425220","title":"MAAC: Message Authentication Acceleration Protocol for Vehicular Ad Hoc Networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Hash-based message authentication code; Revocation list; Computer network; Message authentication code; Public-key cryptography; Public key infrastructure; Authentication (law); Certificate; Revocation; Computer security; Communication source; Vehicular ad hoc network; Wireless ad hoc network; Cryptography; Encryption; Wireless; Overhead (engineering); Algorithm; Telecommunications","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":[0.0002351554,0.0002142611,0.0001809108,0.00005950534,0.00009357888,0.0001190595,0.000172125,0.0001823337,0.0001434485],"category_scores_gemma":[0.00001312257,0.0002042014,0.0001018321,0.0001814935,0.00001219637,0.0002725926,0.00001201106,0.0001610711,0.00003574045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009037897,"about_ca_system_score_gemma":0.00001319689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.006588e-7,"about_ca_topic_score_gemma":0.000009104143,"domain_scores_codex":[0.9988425,0.00002422335,0.0003104504,0.0002428922,0.0001709151,0.000408961],"domain_scores_gemma":[0.9994075,0.00003053505,0.00004367378,0.0003487731,0.00006966836,0.00009980669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000268596,0.00003963417,0.00001041696,0.00003991573,0.00002609715,0.000002079162,0.00004704809,0.9348446,0.0019135,0.001227222,0.01271076,0.04911194],"study_design_scores_gemma":[0.0008041962,0.00008936111,0.0009011469,0.00003405742,0.00001934979,0.000004110166,0.000006743885,0.9207792,0.001599972,0.0005796045,0.07493958,0.0002426765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004125671,0.00022238,0.8263509,0.0004334415,0.000202758,0.1626403,0.000002946726,0.001404279,0.004617336],"genre_scores_gemma":[0.6633433,0.00003326467,0.01792801,0.0005091157,0.0007199642,0.3157338,0.0001801285,0.0001252728,0.001427189],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8084229,"threshold_uncertainty_score":0.8327093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547491894243855,"score_gpt":0.2667336544364631,"score_spread":0.2512587354940246,"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."}}