{"id":"W2166618109","doi":"10.1109/icc.2011.5962855","title":"Mitigating the Effects of Position-Based Routing Attacks in Vehicular Ad Hoc Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Wireless ad hoc network; Computer network; Network packet; Routing (electronic design automation); Vehicular ad hoc network; Reliability (semiconductor); Mobile ad hoc network; Wormhole; Routing protocol; Packet drop attack; Set (abstract data type); Computer security; Link-state routing protocol; Wireless; 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":[0.0003395996,0.0001992802,0.0002363963,0.00006169284,0.00005799914,0.00001824579,0.0002238443,0.000139529,0.0000463747],"category_scores_gemma":[0.00005275243,0.0001595055,0.0001077419,0.0003276121,0.00005021574,0.00008333469,0.00003520655,0.0003672559,0.000009730155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006477465,"about_ca_system_score_gemma":0.0000152949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003836502,"about_ca_topic_score_gemma":0.0001189293,"domain_scores_codex":[0.9987776,0.00009491493,0.0003457689,0.0001771301,0.0001681487,0.0004364007],"domain_scores_gemma":[0.9991415,0.0003604655,0.0000588281,0.0003390127,0.0000337645,0.0000664093],"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":[0.000006346378,0.00002279222,0.004051957,0.000100823,0.00003994983,0.00003847468,0.0003520088,0.9898967,0.001544431,0.0001507979,0.0001491976,0.003646567],"study_design_scores_gemma":[0.0004593968,0.00004834495,0.01118924,0.0003593005,0.00002761514,0.000004936132,0.0000555884,0.9769897,0.01058391,0.00004683248,0.00004155336,0.0001935774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566112,0.002989213,0.03613395,0.00003050978,0.0003150738,0.0004614997,8.201033e-7,0.0002604434,0.003197355],"genre_scores_gemma":[0.9972675,0.00004271108,0.002362223,0.0001504689,0.00006715753,0.00003712516,0.000009481105,0.00004967567,0.00001370008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04065632,"threshold_uncertainty_score":0.6504445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005963984146545174,"score_gpt":0.1851972396266197,"score_spread":0.1792332554800745,"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."}}