{"id":"W7117464464","doi":"10.1109/tdsc.2025.3649054","title":"Cross-Domain Heterogeneous Data Aggregation With Dynamic Group Key Agreement for Hybrid Satellite Networks","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Dependable and Secure Computing","topic":"Satellite Communication Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Geostationary orbit; Eavesdropping; Dynamic data; Data aggregator; Key (lock); Adaptability; Data security; Data transmission; Transmission (telecommunications); Satellite","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001000285,0.0006862893,0.0006892459,0.0003763971,0.001237487,0.0007313288,0.0009972577,0.0002812011,0.00003201546],"category_scores_gemma":[0.000007440534,0.0007350318,0.0001580009,0.0006308195,0.0001777493,0.0004613981,0.00003577663,0.0007779376,0.00001217572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003341745,"about_ca_system_score_gemma":0.00008653415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008204081,"about_ca_topic_score_gemma":0.0006472056,"domain_scores_codex":[0.9962767,0.0002345012,0.001165525,0.001148234,0.0003467159,0.0008282947],"domain_scores_gemma":[0.9964784,0.0007147407,0.000284457,0.002117299,0.0002140111,0.0001910716],"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":[0.0002508108,0.0001460517,0.000094672,0.0007169454,0.000684336,0.00001707315,0.0005349119,0.7082112,0.0001898871,0.00009214439,0.00001488682,0.2890471],"study_design_scores_gemma":[0.002096064,0.0002306199,0.00008482867,0.001587835,0.0002473843,0.0001360175,0.0002457542,0.9788345,0.001550232,0.0001049683,0.01420242,0.0006793505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0426129,0.02315727,0.9297745,0.0001210174,0.001824334,0.001708129,0.0002796736,0.0002541348,0.0002679959],"genre_scores_gemma":[0.9829425,0.005732894,0.01032468,0.000106168,0.0001058082,0.0000659895,0.0003046031,0.0001127241,0.000304634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9403296,"threshold_uncertainty_score":0.99951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892321542036731,"score_gpt":0.2719411064945899,"score_spread":0.2530178910742226,"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."}}