{"id":"W2931380630","doi":"10.1145/3274666","title":"XOR-Based Low-Cost Reconfigurable PUFs for IoT Security","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Embedded Computing Systems","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Fundamental Research Funds for the Central Universities; Six Talent Peaks Project in Jiangsu Province; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Computer science; Physical unclonable function; Field-programmable gate array; Embedded system; Ring oscillator; Cryptography; Internet of Things; Reconfigurable computing; XOR gate; Hardware security module; Computer hardware; Key (lock); Algorithm; Logic gate; CMOS; Electronic engineering; Computer security; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007421891,0.0004475389,0.00063851,0.0003158008,0.0007158707,0.0004803107,0.001705204,0.0002312026,0.00005583802],"category_scores_gemma":[0.00007083591,0.0004497383,0.00043714,0.0009288602,0.00005374159,0.0003811736,0.00002467135,0.000577866,0.0005066686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002702746,"about_ca_system_score_gemma":0.0003264479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001719049,"about_ca_topic_score_gemma":0.00001975597,"domain_scores_codex":[0.996554,0.0002308802,0.0006800253,0.001141559,0.0005435895,0.0008499592],"domain_scores_gemma":[0.9957252,0.001135553,0.0002712595,0.002209967,0.0003868296,0.0002712333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004316678,0.003441891,0.000158245,0.002107428,0.0006022778,0.00002434595,0.00392579,0.8214604,0.003271783,0.05900415,0.00639983,0.09917217],"study_design_scores_gemma":[0.002208115,0.0004323455,0.00005575779,0.0004140844,0.00004334601,0.00002289648,0.0002414813,0.9653363,0.005515742,0.003793062,0.02117284,0.0007640398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02563951,0.00005720254,0.9635061,0.0006789293,0.005005277,0.001907925,0.00008502205,0.0008927242,0.002227298],"genre_scores_gemma":[0.9914031,0.000002836264,0.006985864,0.0004133877,0.000286796,0.000176046,0.00002615013,0.00004723911,0.0006585974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9657636,"threshold_uncertainty_score":0.9997954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609604394062978,"score_gpt":0.2510422119399254,"score_spread":0.2349461679992956,"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."}}