{"id":"W2296652344","doi":"10.1109/hicss.2016.713","title":"Securing D2D Wireless Links by Continuous Authenticity with Legitimacy Patterns","year":2016,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Legitimacy; Wireless; Computer science; Computer security; Measure (data warehouse); Wireless Transport Layer Security; Telecommunications; Wireless network; Wi-Fi array; Data mining; Politics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001073718,0.0002049163,0.0002232029,0.0000672503,0.00005541527,0.0000606532,0.000431449,0.0001522043,0.0002398481],"category_scores_gemma":[0.000005633519,0.0001419906,0.00004313242,0.00008929658,0.00006490225,0.0002775535,0.00009451171,0.0002707948,0.00005227064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007493256,"about_ca_system_score_gemma":0.000009396042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009077213,"about_ca_topic_score_gemma":0.0000745023,"domain_scores_codex":[0.9990375,0.00003207524,0.0002419416,0.0001935466,0.0001881476,0.000306763],"domain_scores_gemma":[0.9990389,0.00009787557,0.0000430151,0.0006578956,0.00006561321,0.00009674866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009859531,0.000690726,0.1059087,0.0006689783,0.000726463,0.00006947762,0.008132407,0.00006829373,0.345932,0.0268725,0.05221313,0.4586187],"study_design_scores_gemma":[0.001910091,0.0001605377,0.002964684,0.0008840645,0.00004497507,0.00004346089,0.0003757517,0.01059245,0.9375443,0.00078095,0.04319946,0.001499202],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7268497,0.00007065484,0.2630553,0.0003779667,0.0000410742,0.000210272,0.00003500477,0.002163612,0.007196352],"genre_scores_gemma":[0.9977522,0.0001752189,0.001299155,0.00008473277,0.00003131759,0.00007224539,0.000009433083,0.00006619186,0.0005094377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5916124,"threshold_uncertainty_score":0.5790209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005778044956279879,"score_gpt":0.2008321637427621,"score_spread":0.1950541187864822,"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."}}