{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00208155,0.0004290017,0.0005994447,0.0007776524,0.001257747,0.001723344,0.001258247,0.000953852,0.0008269138],"category_scores_gemma":[0.002376936,0.0002571317,0.0005047719,0.0007976757,0.001257866,0.002946696,0.001723391,0.0009970863,0.0002527425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303616,"about_ca_system_score_gemma":0.001904422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002609784,"about_ca_topic_score_gemma":0.001718508,"domain_scores_codex":[0.9976816,0.0007029055,0.0001632873,0.0003139004,0.0007220181,0.0004161845],"domain_scores_gemma":[0.9988913,0.0003847214,0.000158856,0.000232422,0.0002718779,0.00006089978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001624467,0.0003461812,0.002743152,0.000407139,0.0002053432,0.002246559,0.001310116,0.2118639,0.08249678,0.5649514,0.00551649,0.1262884],"study_design_scores_gemma":[0.00007733153,0.0002675695,0.0006957695,0.00005388643,0.00007772962,0.0005141298,0.0001890777,0.9212067,0.01609445,0.04938566,0.01135716,0.00008058034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09804407,0.001438514,0.8892238,0.0006796672,0.0002992812,0.0004345891,0.00007535171,0.000638379,0.009166364],"genre_scores_gemma":[0.9492888,0.0003617066,0.04840094,0.0001688078,0.00004046151,0.0001476303,0.00005588792,0.0000196276,0.001516063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002609784,"threshold_uncertainty_score":0.01100838,"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."}}