{"id":"W3034680867","doi":"10.1002/ett.3990","title":"Analysis on homomorphic technique for data security in fog computing","year":2020,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Cloud computing; Client-side encryption; Homomorphic encryption; Encryption; Computer security; Server; 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","open_science"],"consensus_categories":[],"category_scores_codex":[0.0005963611,0.0002591411,0.0003941887,0.001164667,0.0007373475,0.0001288991,0.007333862,0.0002058916,0.00000926028],"category_scores_gemma":[0.0003925975,0.0002935341,0.0001653873,0.005966637,0.0001889057,0.0005047296,0.0004269723,0.0009855096,0.0000267827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001334717,"about_ca_system_score_gemma":0.00007878285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000121366,"about_ca_topic_score_gemma":0.0005963423,"domain_scores_codex":[0.9977771,0.0001386048,0.0005613611,0.0008711852,0.0002277846,0.0004239814],"domain_scores_gemma":[0.9931256,0.0007678628,0.0001733672,0.0057753,0.00009884372,0.00005903773],"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":[0.0001535901,0.006759176,0.001927767,0.0003172097,0.002737755,0.00002394637,0.01103692,0.1575491,0.00380373,0.3810876,0.00688594,0.4277172],"study_design_scores_gemma":[0.0004307086,0.000194332,0.0002022353,0.00005563824,0.0001444741,0.000004324436,0.0007809552,0.9788846,0.003944114,0.00751856,0.007373977,0.0004660462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009338313,0.0001505687,0.9311931,0.06310415,0.00004276161,0.0008420951,0.0002294616,0.003385583,0.0001184241],"genre_scores_gemma":[0.7623551,0.0002260429,0.2367845,0.0002323417,0.000005539873,0.0002626277,0.0001113743,0.0000198283,0.00000255741],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8213355,"threshold_uncertainty_score":0.9999517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06164988954158009,"score_gpt":0.3202104429684451,"score_spread":0.258560553426865,"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."}}