{"id":"W2759063297","doi":"10.1155/2017/8789513","title":"Handover Based IMS Registration Scheme for Next Generation Mobile Networks","year":2017,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Population and Public Health; King Saud University","keywords":"Computer science; Computer network; Handover; Server; IPsec; IP Multimedia Subsystem; Overhead (engineering); Authentication (law); Authentication server; Network packet; Mobile IP; Testbed; Quality of service; Computer security; The Internet; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001609936,0.0005810346,0.0005929693,0.001172675,0.001379334,0.001023179,0.001435902,0.0009786059,0.002642477],"category_scores_gemma":[0.002268367,0.0002304549,0.0005350393,0.0006878679,0.0006385323,0.002125069,0.001752889,0.001396198,0.001769583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384789,"about_ca_system_score_gemma":0.001312543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001918596,"about_ca_topic_score_gemma":0.00138727,"domain_scores_codex":[0.9983088,0.0004082235,0.0001947032,0.0001549706,0.000613426,0.0003197937],"domain_scores_gemma":[0.9986052,0.0001479624,0.0002540723,0.0005048052,0.0003829446,0.0001050954],"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":[0.002126347,0.0005355928,0.004660055,0.0005113195,0.0001469351,0.001305122,0.0009029057,0.01950666,0.2445711,0.1047394,0.03032722,0.5906672],"study_design_scores_gemma":[0.0005139561,0.002907672,0.0111082,0.0001786882,0.0003577574,0.004525979,0.0007233946,0.3772509,0.2904887,0.03021982,0.2811011,0.0006237835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1121752,0.003378312,0.8446255,0.00118614,0.001592398,0.001219219,0.0005888166,0.00937837,0.02585591],"genre_scores_gemma":[0.7984603,0.001392346,0.1797865,0.0004985044,0.0005231929,0.000494269,0.001959357,0.0001908953,0.01669454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002642477,"threshold_uncertainty_score":0.01004744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04860769239717819,"score_gpt":0.2861817201962464,"score_spread":0.2375740277990682,"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."}}