{"id":"W3082746435","doi":"10.1109/icecce49384.2020.9179227","title":"Securing the Authentication Process of LTE Base Stations","year":2020,"lang":"en","type":"article","venue":"2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal; Concordia University of Edmonton","funders":"","keywords":"Base station; Computer science; Authentication (law); Computer network; Computer security; Confidentiality; Key (lock); Mobile telephony; Process (computing); LTE Advanced; Telecommunications; Mobile radio; Telecommunications link","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007591477,0.0002418889,0.0002237696,0.0002795873,0.0008266222,0.0008417841,0.0005206331,0.0008327647,0.001408923],"category_scores_gemma":[0.002966585,0.0001652609,0.000366588,0.0001587167,0.0005480108,0.0009112239,0.0007856999,0.0004745538,0.0006488431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006089566,"about_ca_system_score_gemma":0.001292889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003590713,"about_ca_topic_score_gemma":0.001305214,"domain_scores_codex":[0.999046,0.0002457426,0.0000634862,0.00012732,0.000331823,0.0001855766],"domain_scores_gemma":[0.9987599,0.0003114926,0.000199026,0.0003616462,0.0003145647,0.00005337172],"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":[0.001554453,0.0002648479,0.01881922,0.0002050997,0.0001403322,0.001476558,0.001604388,0.4427159,0.3107195,0.07261337,0.001726668,0.1481597],"study_design_scores_gemma":[0.00007684814,0.00040143,0.002803426,0.00002369921,0.00005583942,0.0003647871,0.0001255082,0.8538859,0.1304542,0.005934738,0.005826639,0.00004701908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.416115,0.0002899175,0.5733729,0.0002798043,0.0001134244,0.0002634582,0.00009976261,0.001262538,0.008203257],"genre_scores_gemma":[0.9861118,0.00005154322,0.01245254,0.00002145275,0.000007314512,0.00002964935,0.00003375149,0.000008288957,0.001283659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003590713,"threshold_uncertainty_score":0.007139623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325846857305989,"score_gpt":0.2770750926636686,"score_spread":0.2538166240906087,"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."}}