{"id":"W4379117199","doi":"10.1109/jiot.2023.3282214","title":"Adaptive Physical-Layer Authentication for IoT in MIMO Communication Systems Using Support Vector Machine","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Spoofing attack; Authentication (law); Physical layer; MIMO; Computer network; Wireless; Link layer; Support vector machine; Channel (broadcasting); Computer security; Artificial intelligence; Telecommunications","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":[0.0007100087,0.0003462749,0.000402182,0.0001788913,0.0003008761,0.0005112923,0.0003257531,0.0004008453,0.0008951208],"category_scores_gemma":[0.001537009,0.00009841141,0.0002519231,0.000217323,0.0003000935,0.0006767578,0.0004020738,0.0005229015,0.0002905623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002592443,"about_ca_system_score_gemma":0.0002374704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005819297,"about_ca_topic_score_gemma":0.0006368704,"domain_scores_codex":[0.999561,0.0001585994,0.00002645836,0.00005975827,0.0001356399,0.00005850918],"domain_scores_gemma":[0.999228,0.0003886661,0.0001006576,0.00007842161,0.0001843865,0.00001989491],"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":[0.001071402,0.000320393,0.003975478,0.000206659,0.00009131549,0.000268483,0.0001634927,0.4249305,0.09329601,0.008013111,0.00175913,0.4659041],"study_design_scores_gemma":[0.000005975785,0.0002271289,0.0005464686,0.000004204539,0.000007735129,0.00004309711,0.00001818884,0.9889464,0.00938204,0.0005393937,0.0002724598,0.000007042096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1987686,0.0005139301,0.7971518,0.0002444866,0.0001244039,0.00006145793,0.00002280861,0.0006061638,0.002506324],"genre_scores_gemma":[0.9804889,0.00008052798,0.01867236,0.00002120518,0.0000111835,0.00001429467,0.00001388733,0.000004202069,0.0006933689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008951208,"threshold_uncertainty_score":0.003754914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05210300379520688,"score_gpt":0.3107130308842381,"score_spread":0.2586100270890312,"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."}}