{"id":"W2112383582","doi":"10.1109/icita.2005.62","title":"An Efficient Authentication Scheme with Fault Tolerance for Database Systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Authentication (law); Checksum; Scheme (mathematics); Fault tolerance; Overhead (engineering); Digital signature; Data integrity; Computer network; Data Authentication Algorithm; Message authentication code; Error detection and correction; Authentication protocol; Database; Computer security; Cryptography; Distributed computing; Hash function; Operating system; Algorithm","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":[0.001467177,0.0006101455,0.0009128937,0.001280617,0.001373021,0.001611047,0.001698602,0.001240034,0.001856548],"category_scores_gemma":[0.003401245,0.000331904,0.000556836,0.001587468,0.0008958576,0.004339441,0.002287736,0.001177014,0.0007569325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009299098,"about_ca_system_score_gemma":0.0009605633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004601633,"about_ca_topic_score_gemma":0.0002397735,"domain_scores_codex":[0.9972267,0.000664241,0.000306272,0.0003209844,0.001090422,0.0003913891],"domain_scores_gemma":[0.9971124,0.0004591235,0.0003816978,0.001260519,0.0006440619,0.0001422235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001729648,0.0002889223,0.001378572,0.0007312513,0.0001682349,0.0006227404,0.0006762417,0.05446495,0.1406335,0.2829974,0.009271013,0.5070375],"study_design_scores_gemma":[0.0005577265,0.001359412,0.001447715,0.0001479882,0.0003304102,0.002557341,0.0001872834,0.6237417,0.1670104,0.1006031,0.1017328,0.0003242727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03223484,0.001429127,0.9615256,0.0004121982,0.0002440142,0.0002433194,0.00006207459,0.001373702,0.002475034],"genre_scores_gemma":[0.7111904,0.0008163465,0.2822027,0.0002126608,0.0002512946,0.0001950918,0.0001800114,0.00007766345,0.004873865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001856548,"threshold_uncertainty_score":0.007759273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325398785417857,"score_gpt":0.2613737850777717,"score_spread":0.2481197972235931,"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."}}