{"id":"W3181633825","doi":"10.36227/techrxiv.12094152.v1","title":"Privacy Preservation in Big Data using Web Log Analyzer and Attribute Based Encryption","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Encryption; Computer science; Computer security; Client-side encryption; Hacker; On-the-fly encryption; Filesystem-level encryption; Cloud computing; Homomorphic encryption; World Wide Web; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006578058,0.0002301507,0.0002911118,0.0003352579,0.00006818388,0.0004661107,0.002255429,0.000212103,0.00001424524],"category_scores_gemma":[0.0001685348,0.0002288272,0.000051377,0.000803263,0.00004451597,0.001217674,0.008005222,0.0004763018,0.000003237232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003760579,"about_ca_system_score_gemma":0.0002918222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006169322,"about_ca_topic_score_gemma":0.0003450314,"domain_scores_codex":[0.997694,0.0001593459,0.0003893447,0.001213098,0.0003145645,0.0002296647],"domain_scores_gemma":[0.9972087,0.00009864818,0.0001855847,0.002327177,0.00007096492,0.0001089156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003230872,0.001858703,0.6137996,0.004544091,0.0005458812,0.0003373217,0.004440451,0.01078872,0.0172866,0.1510017,0.0227713,0.1723026],"study_design_scores_gemma":[0.0003637192,0.00001561671,0.03226294,0.00009034783,0.00001937847,0.000001356548,0.000007424007,0.9506727,0.0001433831,0.01358808,0.002557943,0.0002771149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08602423,0.0001602617,0.9108135,0.001785411,0.0003291917,0.0003436877,0.0003398524,0.0001394363,0.00006448625],"genre_scores_gemma":[0.7611329,0.0001159546,0.2359669,0.0004403155,0.00017043,0.000009593417,0.002152893,0.000009863661,0.000001170527],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9398839,"threshold_uncertainty_score":0.9977937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2456184661897327,"score_gpt":0.3276718956289597,"score_spread":0.08205342943922703,"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."}}