{"id":"W4285818748","doi":"10.1109/comst.2022.3191697","title":"Balancing QoS and Security in the Edge: Existing Practices, Challenges, and 6G Opportunities With Machine Learning","year":2022,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Thunder Bay Regional Research Institute","funders":"","keywords":"Computer science; Provisioning; Quality of service; Computer security; Encryption; Security service; Edge device; Computer network; Cloud computing; Information security","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":[0.002722152,0.0006202402,0.0005775914,0.001254984,0.0007638166,0.003758526,0.001322471,0.001593369,0.001548795],"category_scores_gemma":[0.003526108,0.0002580192,0.0003889114,0.001967389,0.001410285,0.007487775,0.001756323,0.002607393,0.0008139935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224551,"about_ca_system_score_gemma":0.001227866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178247,"about_ca_topic_score_gemma":0.001457053,"domain_scores_codex":[0.9985453,0.000425727,0.00009535674,0.0002818349,0.0005123213,0.0001395425],"domain_scores_gemma":[0.997971,0.00115904,0.0001736341,0.0001761966,0.0004113863,0.0001087246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009088123,0.0001549607,0.005740572,0.001397599,0.00005953382,0.0001640843,0.0006333524,0.01518728,0.002362122,0.153297,0.01194326,0.8089693],"study_design_scores_gemma":[0.00002137817,0.0003252027,0.006273771,0.002933184,0.0001165803,0.00094575,0.003241952,0.2362043,0.005392913,0.3579513,0.3864499,0.0001437367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04973362,0.4968705,0.3045446,0.0648124,0.001847238,0.0001396707,0.0002170926,0.0005844414,0.08125036],"genre_scores_gemma":[0.5494784,0.3447257,0.08846903,0.005149264,0.003668446,0.00009658139,0.0002783005,0.00008001444,0.008054378],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003758526,"threshold_uncertainty_score":0.01439631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1519488383419328,"score_gpt":0.3146501242445259,"score_spread":0.1627012859025931,"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."}}