{"id":"W3117176175","doi":"10.1109/mwc.001.2000329","title":"Security and Privacy for Mobile Edge Caching: Challenges and Solutions","year":2020,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Cache; Computer network; Computer security; Mobile edge computing; Enhanced Data Rates for GSM Evolution; Cloud computing; Edge device; Server; Telecommunications; 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":[0.008435199,0.0007822608,0.001424266,0.0009671274,0.003642631,0.008811754,0.002989329,0.007537672,0.002667728],"category_scores_gemma":[0.01658478,0.0007623563,0.00116677,0.001640606,0.005024794,0.01692114,0.00561559,0.009516128,0.0007791845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003686886,"about_ca_system_score_gemma":0.00482019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002611359,"about_ca_topic_score_gemma":0.002340317,"domain_scores_codex":[0.9931337,0.00239182,0.0004159882,0.0008701165,0.002284185,0.000904119],"domain_scores_gemma":[0.9724672,0.01424849,0.002161841,0.005737679,0.004154827,0.00122996],"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":[0.0001283492,0.0001417873,0.002401687,0.0007076286,0.00009415705,0.0007508068,0.001049242,0.01504925,0.003978417,0.7987981,0.0294358,0.1474647],"study_design_scores_gemma":[0.00004638176,0.0001321051,0.001053849,0.0007272917,0.00008419117,0.001825652,0.002245613,0.139975,0.004315238,0.7453635,0.1040896,0.0001414807],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0415378,0.04846851,0.5356233,0.3275944,0.002268436,0.0003166163,0.0003672351,0.0006729194,0.04315086],"genre_scores_gemma":[0.7888544,0.04373113,0.1353346,0.0146639,0.004060938,0.0003597872,0.0003467207,0.0001487048,0.01249973],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008811754,"threshold_uncertainty_score":0.04461014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10538060743852,"score_gpt":0.2860091286908601,"score_spread":0.1806285212523401,"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."}}