{"id":"W2930871722","doi":"10.1109/tcc.2019.2908400","title":"Blockchain-Based Public Integrity Verification for Cloud Storage against Procrastinating Auditors","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cloud Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":287,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China; Brander Beacons Cancer Research","keywords":"Computer science; Cloud computing; Public key infrastructure; Key (lock); Certificate; Public-key cryptography; Information retrieval; Algorithm; Database; Computer security; Encryption; 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":[0.003651366,0.0006038153,0.001387969,0.001065707,0.002965602,0.002905088,0.002915743,0.002063946,0.007104763],"category_scores_gemma":[0.0125411,0.0006251197,0.0009602883,0.001484264,0.002286408,0.007028875,0.005646305,0.002203053,0.001444916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003100774,"about_ca_system_score_gemma":0.008216137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008077958,"about_ca_topic_score_gemma":0.007603484,"domain_scores_codex":[0.994789,0.001566286,0.0003587697,0.0008812512,0.001485084,0.000919706],"domain_scores_gemma":[0.9902521,0.003269239,0.0009158351,0.003275638,0.001722389,0.0005647063],"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":[0.002685188,0.0004863581,0.004310215,0.0006670167,0.0002054309,0.001581509,0.001505807,0.3970091,0.02653965,0.2954711,0.01565847,0.2538802],"study_design_scores_gemma":[0.0001555285,0.000109321,0.0002641397,0.00004414107,0.00004354244,0.0001960626,0.0001214268,0.9229917,0.01021608,0.06072028,0.005087712,0.00005007413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06067627,0.0005574015,0.9213887,0.002106086,0.0002226706,0.0006804109,0.0003558042,0.003697231,0.01031539],"genre_scores_gemma":[0.9350104,0.0002626726,0.05876685,0.0001783579,0.00007347039,0.0001881556,0.0002560415,0.00007777372,0.00518624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008077958,"threshold_uncertainty_score":0.02376777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02825568039486496,"score_gpt":0.2653957163789077,"score_spread":0.2371400359840427,"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."}}