{"id":"W3201826149","doi":"10.1145/3487060","title":"Lessons Learned: Analysis of PUF-based Authentication Protocols for IoT","year":2021,"lang":"en","type":"article","venue":"Digital Threats Research and Practice","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Authentication protocol; Computer science; Authentication (law); Computer security; Lightweight Extensible Authentication Protocol; Cryptographic protocol; Challenge–response authentication; Cryptography; Confidentiality; Internet of Things","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001056666,0.00009364946,0.0002246542,0.0002660147,0.0002451644,0.0007619743,0.0003326891,0.00005347823,0.0000169892],"category_scores_gemma":[0.003589427,0.00008500652,0.0001210272,0.002296052,0.0001352118,0.001186835,0.0002039044,0.0002001097,0.00001351148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003482194,"about_ca_system_score_gemma":0.0004857536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002344419,"about_ca_topic_score_gemma":0.00001722969,"domain_scores_codex":[0.9982418,0.0002056353,0.000198128,0.0004677115,0.0005661058,0.0003205977],"domain_scores_gemma":[0.9941154,0.003582335,0.00009124757,0.0006162054,0.001434775,0.0001600985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005126377,0.002371683,0.0002873161,0.0001909032,0.0007513515,0.00002507902,0.0004932345,0.0001385182,0.002350228,0.6811136,0.0007598462,0.3110056],"study_design_scores_gemma":[0.002083155,0.002125157,0.004409386,0.000153066,0.0004215058,0.00002273545,0.0007496601,0.1245669,0.02063028,0.4518937,0.3923279,0.000616483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007092642,0.0007624201,0.8745232,0.05461044,0.00009608231,0.008652907,0.0005329816,0.000186758,0.05354262],"genre_scores_gemma":[0.9832754,0.00006730089,0.01191952,0.0001443239,0.00006646046,0.002297193,0.0001546933,0.0000131747,0.002061947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9761828,"threshold_uncertainty_score":0.7347736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.33917689553117,"score_gpt":0.5122944211758724,"score_spread":0.1731175256447024,"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."}}