{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002289552,0.0003396021,0.0006944322,0.001026052,0.0008016851,0.002764377,0.0008345418,0.0007018239,0.001022214],"category_scores_gemma":[0.005569336,0.0002696755,0.0008862274,0.002068535,0.001116674,0.005032853,0.002088411,0.001436691,0.0005304645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006551844,"about_ca_system_score_gemma":0.001068422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000407495,"about_ca_topic_score_gemma":0.0002884697,"domain_scores_codex":[0.9966611,0.0009830772,0.0003017389,0.0005045408,0.001281833,0.0002676559],"domain_scores_gemma":[0.9936959,0.001418959,0.0005592229,0.003650328,0.0005030887,0.0001724478],"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":[0.001816826,0.0006418448,0.01114522,0.0005742112,0.0003393813,0.002225077,0.001319991,0.06398401,0.09405485,0.3591319,0.01146832,0.4532984],"study_design_scores_gemma":[0.0001063599,0.0002686786,0.003605634,0.00008599269,0.0000989115,0.00300887,0.0005009582,0.6353192,0.1093424,0.2256864,0.02187333,0.0001032441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05528216,0.0007159016,0.937419,0.0007481763,0.0001049573,0.0001085982,0.0003594753,0.001568139,0.003693544],"genre_scores_gemma":[0.844722,0.0007054191,0.1503085,0.0002575545,0.000155799,0.0001338329,0.0005595037,0.0001132,0.003044327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002764377,"threshold_uncertainty_score":0.01210845,"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."}}