{"id":"W4399749827","doi":"10.3390/fi16060209","title":"Authentication and Key Agreement Protocol in Hybrid Edge–Fog–Cloud Computing Enhanced by 5G Networks","year":2024,"lang":"en","type":"article","venue":"Future Internet","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Cloud computing; Key (lock); Key-agreement protocol; Enhanced Data Rates for GSM Evolution; Protocol (science); Authentication (law); Computer network; Computer security; Edge computing; Authentication protocol; Fog computing; Distributed computing; Telecommunications; Operating system; Public-key cryptography; Encryption; Key distribution","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":[0.000415927,0.0002020115,0.0001775022,0.000113264,0.0000568424,0.0005047149,0.0005332683,0.00007310775,0.000009574565],"category_scores_gemma":[0.0000123271,0.0001813335,0.00004868656,0.0002863208,0.00003076099,0.000232788,0.0003408309,0.000339752,0.00005249905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008899617,"about_ca_system_score_gemma":0.00003192116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003026369,"about_ca_topic_score_gemma":0.000005502395,"domain_scores_codex":[0.9984174,0.00007501887,0.0003705352,0.0005695645,0.000191547,0.0003759236],"domain_scores_gemma":[0.9994427,0.00007530612,0.00007914446,0.0002840426,0.00003913405,0.00007969646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003584416,0.0001743758,0.0007795814,0.0003905255,0.00007872751,0.00007384265,0.0148578,0.0002087583,0.001835636,0.006082166,0.4105069,0.5649758],"study_design_scores_gemma":[0.0003491388,0.00009910239,0.0008254245,0.0004777324,0.000004953328,0.00002066786,0.00002873779,0.7813904,0.003939227,0.0004761757,0.2121076,0.0002808308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04098214,0.000395941,0.9288765,0.001177673,0.01680873,0.009521338,5.025454e-7,0.0003352515,0.001901893],"genre_scores_gemma":[0.9840446,0.000004754559,0.004724116,0.0003611099,0.008114455,0.001797506,0.00001602454,0.00002416642,0.0009132758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9430624,"threshold_uncertainty_score":0.7394564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006414275484392985,"score_gpt":0.25125472974333,"score_spread":0.244840454258937,"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."}}