{"id":"W4409762958","doi":"10.1109/jiot.2025.3564138","title":"Privacy-Preserving Intelligent Intent-Based Network Slicing for IoT Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Slicing; Computer network; Internet of Things; Information privacy; Distributed computing; Intelligent Network; Computer security; World Wide Web","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":[0.001108465,0.0004406,0.000415353,0.0002419261,0.0005256981,0.0008141951,0.0008157584,0.000318295,0.0006071467],"category_scores_gemma":[0.001517001,0.0002042269,0.0003780655,0.0003000523,0.0009537834,0.001628387,0.001322335,0.0006439255,0.00009050813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006866,"about_ca_system_score_gemma":0.001116212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002065878,"about_ca_topic_score_gemma":0.002235328,"domain_scores_codex":[0.9994129,0.0001677634,0.00003037069,0.0001198989,0.0001856472,0.00008350788],"domain_scores_gemma":[0.9993433,0.0002389539,0.0001110126,0.0001549424,0.00009895927,0.00005276026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000237068,0.00007274784,0.00170093,0.00009757834,0.00003792517,0.0002210724,0.0003835416,0.8008998,0.03062604,0.08405729,0.001579433,0.08008657],"study_design_scores_gemma":[0.000006212532,0.00003517344,0.000110066,0.000004387358,0.000006379892,0.00002680219,0.00002653514,0.9822168,0.003902722,0.0129451,0.0007141721,0.000005553974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03476809,0.0001802589,0.962902,0.0001407061,0.00001803729,0.00004384909,0.00003417645,0.0002721627,0.001640656],"genre_scores_gemma":[0.890176,0.0001577531,0.1088486,0.00007488544,0.00001524151,0.00004268634,0.00006460344,0.00002730072,0.000592869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002065878,"threshold_uncertainty_score":0.007305384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316346284729326,"score_gpt":0.2711463200572534,"score_spread":0.2479828572099601,"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."}}