{"id":"W4410554075","doi":"10.1016/j.adhoc.2025.103898","title":"Heuristic and reinforcement learning-based survivable trust-aware virtual network embedding for IoT networks","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Heuristic; Embedding; Computer network; Internet of Things; Distributed computing; Artificial intelligence; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001245675,0.0006301606,0.000821616,0.0005245383,0.0004125393,0.0006456643,0.000949826,0.0006413614,0.0008832664],"category_scores_gemma":[0.003354406,0.0002849387,0.0003973476,0.0003227628,0.0009146037,0.000933521,0.0009434561,0.000710731,0.00007793648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189026,"about_ca_system_score_gemma":0.001152926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004658293,"about_ca_topic_score_gemma":0.003842772,"domain_scores_codex":[0.9993887,0.0002131441,0.0000313313,0.000106466,0.0001310457,0.0001293098],"domain_scores_gemma":[0.9981517,0.00100769,0.0003369574,0.00009360933,0.0002694315,0.0001405543],"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":[0.00003509751,0.00004028284,0.0004420485,0.00001741328,0.00001748216,0.00003129461,0.00002805333,0.984877,0.0005655453,0.002679671,0.0001678357,0.01109824],"study_design_scores_gemma":[0.000002640952,0.00001392075,0.00003087632,0.000001079928,0.000002118223,0.000003817142,0.000004048373,0.9991543,0.00008362668,0.000670006,0.00003218394,0.000001373494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07992353,0.0002381196,0.9172357,0.0002281659,0.00004331227,0.0000624431,0.0000171988,0.0001896101,0.002061999],"genre_scores_gemma":[0.9772199,0.00005742324,0.02209511,0.00003790087,0.000009172755,0.00003691533,0.00001638121,0.000009749256,0.0005174943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004658293,"threshold_uncertainty_score":0.009262323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008372500812071288,"score_gpt":0.2446379987833834,"score_spread":0.2362654979713121,"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."}}