{"id":"W4394693818","doi":"10.1109/mwc.001.2300358","title":"Toward Zero-Trust 6GC: A Software Defined Perimeter Approach with Dynamic Moving Target Defense Mechanism","year":2024,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Guelph","funders":"","keywords":"Computer science; Perimeter; Mechanism (biology); Software; Zero (linguistics); Distributed computing; Computer security; Operating system; Mathematics","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":[0.001629877,0.0004380523,0.0003497929,0.0005467886,0.0006334462,0.002300151,0.001804023,0.001095157,0.0006750266],"category_scores_gemma":[0.001771035,0.0002463536,0.0003428544,0.0002938543,0.002250424,0.00309577,0.002814865,0.001812276,0.0002597571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009729262,"about_ca_system_score_gemma":0.001543557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007945937,"about_ca_topic_score_gemma":0.0008013929,"domain_scores_codex":[0.9984826,0.0004212832,0.00006775685,0.0002198737,0.0006261231,0.0001824539],"domain_scores_gemma":[0.9989126,0.0001597691,0.0001906826,0.0003592217,0.0002316873,0.000146107],"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":[0.000127344,0.0001481991,0.001481412,0.0001800794,0.00005130002,0.0004827533,0.0008293803,0.06913731,0.0360793,0.7823007,0.003527689,0.1056545],"study_design_scores_gemma":[0.00005297365,0.0006061894,0.0006789304,0.0001093768,0.00005759367,0.000925004,0.00037419,0.7120925,0.02504388,0.2059371,0.05405308,0.00006933072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03881056,0.0004132239,0.9482422,0.0008980734,0.0000937361,0.00012441,0.00001465534,0.0006315067,0.01077148],"genre_scores_gemma":[0.7552385,0.0004721271,0.2399102,0.0003238606,0.00006559335,0.0001071855,0.00003952321,0.0000642142,0.003778827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002300151,"threshold_uncertainty_score":0.008619726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866707753089796,"score_gpt":0.2490940950343628,"score_spread":0.2204270175034649,"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."}}