{"id":"W2104866986","doi":"10.1109/icc.2007.258","title":"Secure Vehicular Communications Based on Group Signature and ID-Based Signature Scheme","year":2007,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Group signature; Anonymity; Computer science; Computer security; Communication source; Computer network; Scheme (mathematics); Traceability; Protocol (science); Signature (topology); Communication in small groups; The Internet; Security analysis; Public-key cryptography; Encryption; World Wide Web","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004656281,0.0003308262,0.000247122,0.0001644079,0.0001580589,0.00006171296,0.0004429973,0.0005104413,0.0001289217],"category_scores_gemma":[0.00002909375,0.0003108633,0.00009473113,0.0004153878,0.00008918051,0.0001018411,0.00005799085,0.001145596,0.00003030919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009987872,"about_ca_system_score_gemma":0.00002214958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008623909,"about_ca_topic_score_gemma":0.0001891452,"domain_scores_codex":[0.9985663,0.00005643012,0.000260027,0.0002954719,0.0003208853,0.0005008585],"domain_scores_gemma":[0.9982593,0.000309893,0.00003761817,0.00110717,0.00005847427,0.0002275425],"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":[0.00003375125,0.0001123668,0.0003758676,0.00009938913,0.00006644231,0.00005685898,0.00004802083,0.9684988,0.01557887,0.003235309,0.009783238,0.002111079],"study_design_scores_gemma":[0.0007722887,0.00004852969,0.001227119,0.00008825778,0.00002744932,0.000004259616,0.00002754677,0.9404925,0.002494215,0.00007041463,0.05436191,0.0003854749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3953192,0.03135336,0.4799237,0.006720381,0.001442672,0.004171038,0.0001899882,0.008070945,0.07280866],"genre_scores_gemma":[0.9710623,0.0000371623,0.02658633,0.001760387,0.0001167944,0.00001965045,0.0002748545,0.00008456845,0.00005792884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5757431,"threshold_uncertainty_score":0.9999344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006744589027223626,"score_gpt":0.214491551994945,"score_spread":0.2077469629677214,"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."}}