{"id":"W4411948507","doi":"10.1109/tdsc.2025.3584924","title":"DTHA: A Digital Twin-Assisted Handover Authentication Scheme for 5G and Beyond","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Dependable and Secure Computing","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Computer science; Handover; Computer network; Scheme (mathematics); Authentication (law); Computer security; 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":[0.001242013,0.0006257026,0.0006969715,0.001226829,0.00163877,0.001200154,0.001301207,0.001018755,0.003449262],"category_scores_gemma":[0.002242899,0.0002639671,0.0006841518,0.0008018654,0.00129307,0.003670109,0.003125405,0.001557826,0.001065687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000935672,"about_ca_system_score_gemma":0.001447676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172175,"about_ca_topic_score_gemma":0.0009486851,"domain_scores_codex":[0.9986002,0.0003759681,0.0001474403,0.000218101,0.0003937643,0.0002644449],"domain_scores_gemma":[0.998616,0.0002403968,0.000223544,0.0004360822,0.0003400562,0.0001438569],"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":[0.002324881,0.0002521984,0.002176943,0.0006207542,0.0001588315,0.001158104,0.001165153,0.03283001,0.1202703,0.4900777,0.01409641,0.3348687],"study_design_scores_gemma":[0.0004152781,0.001781215,0.001340394,0.0002007732,0.000345638,0.004102697,0.0004603035,0.6684695,0.1050739,0.1159664,0.1014646,0.00037933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04679508,0.00144683,0.9339375,0.0007178266,0.0006535992,0.0004460978,0.0002600399,0.002217264,0.01352571],"genre_scores_gemma":[0.910652,0.0006863293,0.07864551,0.0003633001,0.0001503372,0.0001935729,0.0003458764,0.00004431002,0.008918825],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003449262,"threshold_uncertainty_score":0.01153892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251229873687993,"score_gpt":0.2757864622452119,"score_spread":0.263274163508332,"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."}}