{"id":"W4406562693","doi":"10.1016/j.iot.2025.101499","title":"Secure and Efficient Lightweight Authentication Protocol (SELAP) for multi-sector IoT applications","year":2025,"lang":"en","type":"article","venue":"Internet of Things","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vanier College; Université du Québec à Montréal","funders":"Shahid Rajaee Teacher Training University","keywords":"Computer science; Authentication protocol; Protocol (science); Internet of Things; Authentication (law); Computer security; Computer network; Embedded system; Medicine","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":[0.001170523,0.0005417526,0.0004487701,0.0008428303,0.001038077,0.001466441,0.0008894856,0.0007161283,0.00339515],"category_scores_gemma":[0.001684628,0.0002658376,0.0003988759,0.0007113395,0.0005843109,0.003204045,0.0030617,0.00125533,0.001831073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512491,"about_ca_system_score_gemma":0.001274849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002938132,"about_ca_topic_score_gemma":0.0004033762,"domain_scores_codex":[0.9990269,0.0002348478,0.0001088894,0.00009008084,0.0003334961,0.0002058389],"domain_scores_gemma":[0.9986168,0.0002196457,0.0001952491,0.000503866,0.0003767629,0.00008763163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002823167,0.0004509558,0.005522265,0.0009506867,0.000181358,0.001958837,0.0007350837,0.02954721,0.281653,0.1416773,0.02476199,0.5097381],"study_design_scores_gemma":[0.0002525052,0.001645289,0.003603027,0.0001967986,0.0002779241,0.003187594,0.0007726671,0.5559815,0.2562015,0.1010037,0.07666136,0.0002161583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1253267,0.001639948,0.853188,0.001004352,0.0005883926,0.0004494038,0.000355168,0.005642899,0.01180505],"genre_scores_gemma":[0.9443648,0.0003814817,0.04615019,0.0001931511,0.00009119141,0.0002113483,0.0003370579,0.00009080125,0.008180065],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00339515,"threshold_uncertainty_score":0.0113579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168384757090227,"score_gpt":0.3022227905894598,"score_spread":0.2853843148804371,"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."}}