{"id":"W4386071155","doi":"10.1016/j.micpro.2023.104915","title":"Hardware Trojan prevention using memristor technology","year":2023,"lang":"en","type":"article","venue":"Microprocessors and Microsystems","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Computer science; Trojan; Hardware Trojan; Hardware security module; Embedded system; Memristor; Controllability; Electronic circuit; Integrated circuit; Isolation (microbiology); Observability; Computer hardware; Computer architecture; Cryptography; Computer security; Electrical engineering; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001259645,0.0002311659,0.0001748147,0.0004770083,0.0002112453,0.0003147775,0.0004789508,0.0003882295,0.002179428],"category_scores_gemma":[0.0005207135,0.00013486,0.0002029275,0.000143263,0.0002258606,0.0007380708,0.0003653438,0.0003598685,0.0003604376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001201401,"about_ca_system_score_gemma":0.0001523847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001337339,"about_ca_topic_score_gemma":0.0002397616,"domain_scores_codex":[0.9999055,0.00001214845,0.000006039661,0.00001857873,0.00003290897,0.00002487445],"domain_scores_gemma":[0.9997403,0.00005875117,0.00008108969,0.00005782058,0.00004884915,0.00001322108],"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":[0.0003099387,0.0001028038,0.001875753,0.0002633801,0.00005513008,0.0003826987,0.00009580351,0.004317397,0.8735523,0.008869088,0.001262331,0.1089135],"study_design_scores_gemma":[0.0000396104,0.0007165581,0.002096414,0.00009841505,0.00007968191,0.001134406,0.0000513263,0.0440946,0.9399908,0.003164544,0.008510849,0.00002280464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8085281,0.006518165,0.1565501,0.0008976552,0.0004430535,0.00007055819,0.000102747,0.003709625,0.02318011],"genre_scores_gemma":[0.9872659,0.0006934887,0.008504102,0.00008352798,0.00002171674,0.000007451359,0.00001767294,0.00004354747,0.003362583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002179428,"threshold_uncertainty_score":0.00729084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068632610964066,"score_gpt":0.2629380498522317,"score_spread":0.2422517237425911,"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."}}