{"id":"W2585587358","doi":"10.1109/icecs.2016.7841220","title":"Secure scan chain using test port for tester authentication","year":2016,"lang":"en","type":"article","venue":"","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Scan chain; Computer science; Testability; Side channel attack; Cryptography; Design for testing; Authentication (law); Key (lock); Embedded system; Encryption; Field-programmable gate array; Computer hardware; Computer engineering; Computer security; Engineering; Integrated circuit; Reliability engineering; Operating system","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":[0.001044905,0.001019694,0.0007612272,0.00131853,0.0005706066,0.001544301,0.001451797,0.001875005,0.01238474],"category_scores_gemma":[0.003557945,0.0003546699,0.0004576574,0.0008182684,0.0006664257,0.003348602,0.002111535,0.001218352,0.005016604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005198898,"about_ca_system_score_gemma":0.001103547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003449855,"about_ca_topic_score_gemma":0.0003915704,"domain_scores_codex":[0.9975315,0.0006250142,0.0002521648,0.0004195364,0.0007814231,0.000390234],"domain_scores_gemma":[0.9952061,0.001027437,0.0006542028,0.002068418,0.0008475909,0.0001963945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004651066,0.0007016383,0.009822663,0.0005320472,0.0001564153,0.003879581,0.0006733962,0.0289612,0.3203023,0.1026281,0.01472326,0.5129682],"study_design_scores_gemma":[0.0004562152,0.001904384,0.001562163,0.0001121192,0.000167688,0.004774854,0.0001511104,0.4747842,0.4415377,0.03034259,0.04407005,0.0001370129],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08192465,0.0002828624,0.892469,0.0005162576,0.0002331318,0.0005123678,0.0001794693,0.01184671,0.01203553],"genre_scores_gemma":[0.9127331,0.0001290985,0.07662444,0.0002161955,0.00008045351,0.0002956054,0.0002718089,0.0001828219,0.009466425],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01238474,"threshold_uncertainty_score":0.04143107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209381619687641,"score_gpt":0.2543494584657343,"score_spread":0.2322556422688579,"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."}}