{"id":"W3209428779","doi":"10.1016/j.cose.2021.102511","title":"Power jacking your station: In-depth security analysis of electric vehicle charging station management systems","year":2021,"lang":"en","type":"article","venue":"Computers & Security","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Office of Advanced Cyberinfrastructure; Natural Sciences and Engineering Research Council of Canada; Ontario Arts Council; Concordia University; National Science Foundation","keywords":"Computer security; Computer science; Cyber-physical system; Firmware; Leverage (statistics); Grid; Vulnerability assessment; Vulnerability (computing); Implementation; Vulnerability management; Critical infrastructure; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003149876,0.0001930418,0.0004155689,0.0005538157,0.00007195088,0.00008149818,0.0002111554,0.00008417352,0.0000244296],"category_scores_gemma":[0.0000130117,0.0002245224,0.0001353668,0.002567808,0.00002533812,0.0002451674,0.00007987797,0.0002520942,0.000006543889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001757026,"about_ca_system_score_gemma":0.00002630706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008453741,"about_ca_topic_score_gemma":0.0001444948,"domain_scores_codex":[0.9983028,0.0001221312,0.0004841671,0.0003514536,0.0003778233,0.0003616854],"domain_scores_gemma":[0.99927,0.0000963182,0.00009773788,0.0003294829,0.000123249,0.00008324814],"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":[0.00003340351,0.0003875556,0.03508225,0.001409419,0.001723669,0.0003640761,0.0283841,0.9164096,0.002388142,0.0103136,0.00109703,0.002407217],"study_design_scores_gemma":[0.000444969,0.00002286423,0.08626617,0.0001266266,0.0001589761,0.000004845474,0.001253712,0.9089798,0.001451467,0.0003427889,0.0006625666,0.0002851683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979071,0.002198363,0.01615985,0.00004016313,0.0008704395,0.0002148386,0.00002473231,0.0001449249,0.001275697],"genre_scores_gemma":[0.9992293,0.0003363052,0.0002353777,0.00003327792,0.00005265327,0.00001144763,0.00007823539,0.00001716471,0.000006202289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05118392,"threshold_uncertainty_score":0.9155757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008312177583636468,"score_gpt":0.225737670027119,"score_spread":0.2174254924434825,"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."}}