{"id":"W3081854684","doi":"10.1109/tii.2020.3021013","title":"LEVER: Secure Deduplicated Cloud Storage With Encrypted Two-Party Interactions in Cyber--Physical Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Data deduplication; Computer science; Encryption; Cloud computing; Homomorphic encryption; Client-side encryption; Cloud storage; Upload; Computer security; Cryptography; Computer network; On-the-fly 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002002524,0.000344993,0.0004397147,0.0002900508,0.0003090713,0.0003768571,0.0009249752,0.0001602333,0.00002609613],"category_scores_gemma":[0.0000331781,0.000321388,0.0001203325,0.002142478,0.0001088999,0.001753746,0.00001760666,0.001642877,0.0002595575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105951,"about_ca_system_score_gemma":0.00033487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003956556,"about_ca_topic_score_gemma":0.0002354454,"domain_scores_codex":[0.997663,0.0001465738,0.0008314802,0.0003277381,0.0005465355,0.0004846336],"domain_scores_gemma":[0.9981387,0.000307345,0.0002786454,0.0007698248,0.0001423948,0.0003630646],"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":[0.0004478402,0.001611127,0.00006478347,0.0001078937,0.0003720459,0.00005564884,0.03893499,0.9151853,0.0005243011,0.01584686,0.01768066,0.009168573],"study_design_scores_gemma":[0.003115391,0.0004136773,0.00001295691,0.0001379179,0.00006274705,0.0000639596,0.00148567,0.9779376,0.001903251,0.00004739491,0.01429009,0.0005293491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1241292,0.000004230392,0.8707481,0.001527911,0.001385461,0.0008543055,0.0003400946,0.0004475689,0.0005631417],"genre_scores_gemma":[0.9967116,0.000004311574,0.002354881,0.0003997417,0.0003156345,0.0001188487,0.00003674639,0.00002211248,0.00003613487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8725824,"threshold_uncertainty_score":0.9999238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0606812881620232,"score_gpt":0.2743571910991093,"score_spread":0.2136759029370861,"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."}}