{"id":"W4200431430","doi":"10.1109/iscc53001.2021.9631258","title":"Anonymous Authentication Protocol for Efficient Communications in Vehicle to Grid Networks","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Symposium on Computers and Communications (ISCC)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Authentication (law); Public key infrastructure; Computer security; Anonymity; Protocol (science); Confidentiality; Computer network; Cryptographic protocol; Vehicle-to-grid; Grid; Message authentication code; Cryptography; Public-key cryptography; Electric vehicle; Power (physics)","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":[0.0002311709,0.0001737699,0.0002053709,0.0001403591,0.0003557366,0.0001285703,0.0009221474,0.00009324428,0.000006406361],"category_scores_gemma":[0.00001598705,0.0001872049,0.00006801019,0.0005509577,0.0001101686,0.00006442348,0.0003430859,0.0002846816,0.00001626505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008887104,"about_ca_system_score_gemma":0.00004503165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001552853,"about_ca_topic_score_gemma":0.0001604325,"domain_scores_codex":[0.9988176,0.000143797,0.0003726778,0.0002719855,0.0001223325,0.0002716692],"domain_scores_gemma":[0.9971845,0.0004031686,0.00004622009,0.002130481,0.0001169014,0.0001187897],"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":[0.00004796689,0.001081743,0.0004215415,0.000142281,0.00006281436,0.000003519832,0.003469736,0.9553071,0.00798161,0.01029332,0.007900259,0.01328807],"study_design_scores_gemma":[0.0006712427,0.00007423739,0.0009711522,0.0002096427,0.00001121364,0.000006205089,0.0001287141,0.9542168,0.001057896,0.00005515785,0.0423626,0.0002351513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.132092,0.002458836,0.5441748,0.06419866,0.005623561,0.2296505,0.0003145679,0.00143142,0.02005556],"genre_scores_gemma":[0.8841538,0.000452382,0.0215027,0.0006894479,0.0002353463,0.09264051,0.0001360585,0.0000611037,0.0001286963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7520617,"threshold_uncertainty_score":0.7633993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212165148565964,"score_gpt":0.2835670723767791,"score_spread":0.2614454208911194,"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."}}