{"id":"W3089041741","doi":"10.1109/tbdata.2020.3026318","title":"On Security of an Identity-Based Dynamic Data Auditing Protocol for Big Data Storage","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Big Data","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Computer science; Big data; Protocol (science); Audit; Computer security; Cryptographic protocol; Cryptography; Data mining","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":[0.01123378,0.0007633796,0.001143477,0.001811519,0.003531804,0.004983234,0.002608408,0.003200937,0.002324728],"category_scores_gemma":[0.02805283,0.0008085284,0.0009581507,0.001902969,0.005398785,0.018558,0.00875642,0.005925449,0.0009777467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0027205,"about_ca_system_score_gemma":0.00426586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036282,"about_ca_topic_score_gemma":0.0003937192,"domain_scores_codex":[0.9845238,0.005116978,0.001381374,0.001490294,0.006086642,0.001400876],"domain_scores_gemma":[0.9684691,0.01371523,0.002355048,0.01027852,0.004480722,0.000701318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004091154,0.00009006678,0.0009699616,0.0002761397,0.00005150432,0.0004998785,0.001522976,0.008963812,0.008748633,0.9342877,0.004091983,0.04008812],"study_design_scores_gemma":[0.0001946226,0.0005076173,0.0006325438,0.0004119925,0.0001761847,0.002205526,0.001080204,0.2706358,0.06449901,0.5748559,0.08445006,0.0003505347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03820873,0.001713878,0.926151,0.007196273,0.0008222181,0.0006478131,0.0001992396,0.0007666152,0.02429419],"genre_scores_gemma":[0.813696,0.002166014,0.1673488,0.00205416,0.0004776239,0.0008655006,0.0002355051,0.0001768568,0.01297954],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01123378,"threshold_uncertainty_score":0.05941057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2203932509156898,"score_gpt":0.3730415549898869,"score_spread":0.1526483040741971,"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."}}