{"id":"W2048964582","doi":"10.1109/lcnw.2012.6424063","title":"RFID tags authentication by unique hash sequence detection","year":2012,"lang":"en","type":"article","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Hash function; Authentication (law); Encryption; Authentication protocol; Computer network; Protocol (science); Node (physics); Computer security; Tree (set theory); Cryptographic protocol; Challenge–response authentication; Cryptography; Engineering; Mathematics","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":[0.00006629327,0.00007038096,0.00004880571,0.00004607854,0.00003048795,0.000005853033,0.00007733475,0.00008452604,0.00009822868],"category_scores_gemma":[0.00001457077,0.00007391281,0.00001063538,0.000119097,0.00002335402,0.0002962892,0.00001330316,0.00009485548,0.0002113385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008943019,"about_ca_system_score_gemma":0.000001751689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006468917,"about_ca_topic_score_gemma":0.000005337423,"domain_scores_codex":[0.9995872,0.000006616115,0.0000916821,0.00007056676,0.00005578749,0.0001881852],"domain_scores_gemma":[0.9997578,0.000008649168,0.0000135107,0.0001718066,0.00001292151,0.00003532864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[8.556638e-7,0.00001620087,0.002137186,0.00001117387,0.00001349336,1.485837e-7,0.0000551063,0.0001089605,0.9750117,0.0018135,0.000920428,0.01991122],"study_design_scores_gemma":[0.00009137193,0.000009804555,0.001360433,0.000004364329,0.000006011965,0.000005409424,0.00001961829,0.00627625,0.9733264,0.0007345262,0.01804562,0.0001201638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5781419,0.0001732003,0.4151098,0.0000712385,0.0003706443,0.0001400923,0.000003068419,0.001410511,0.004579545],"genre_scores_gemma":[0.9962284,0.00003066971,0.00305093,0.00002971595,0.00001813159,0.00003783992,0.000007038384,0.00001554893,0.0005817544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4180865,"threshold_uncertainty_score":0.3014077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009700988183062208,"score_gpt":0.2263669278261963,"score_spread":0.2166659396431341,"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."}}