{"id":"W2900940002","doi":"10.1007/978-3-319-89914-5_8","title":"Data Fragmentation Scheme: Improving Database Security in Cloud Computing","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Encryption; Cloud computing; Client-side encryption; Confidentiality; Overhead (engineering); Computer security; Scheme (mathematics); Disk encryption hardware; Data security; Access control; Database; Distributed computing; 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":[0.001081284,0.0003895782,0.0003607795,0.0003379704,0.0001575076,0.000338548,0.003448466,0.0002622883,0.000450592],"category_scores_gemma":[0.00005395048,0.0004054854,0.00007554732,0.0001714743,0.0001324264,0.00173409,0.005685298,0.0006561144,0.0001750645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005923041,"about_ca_system_score_gemma":0.0001399135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002715365,"about_ca_topic_score_gemma":0.001032577,"domain_scores_codex":[0.9969971,0.00004093722,0.0005958627,0.001477158,0.0005014488,0.0003874999],"domain_scores_gemma":[0.9956803,0.0001450385,0.0003316614,0.003614708,0.00009399224,0.0001342547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001049589,0.00006441475,0.00007727691,0.0001523422,0.00003415803,0.00005458631,0.0005810218,6.985816e-7,0.00004874238,0.9617064,0.02486207,0.01240781],"study_design_scores_gemma":[0.001852161,0.0001759827,0.0001069114,0.0009255936,0.00006323268,0.00005356667,0.0001442863,0.3723409,0.0002280249,0.2323237,0.3893262,0.002459475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000850805,0.000549231,0.8712426,0.000137072,0.00150998,0.0005779213,0.001765333,0.0004052879,0.1229618],"genre_scores_gemma":[0.01810488,0.0005120724,0.9453869,0.002426087,0.003745876,0.00001069784,0.02438478,0.0001618461,0.00526687],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7293827,"threshold_uncertainty_score":0.9998397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03845300880309548,"score_gpt":0.2847249718370037,"score_spread":0.2462719630339082,"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."}}