{"id":"W4416288715","doi":"10.1007/978-3-032-09694-4_32","title":"A Survey of Explainable Intrusion Detection Systems in IoT Networks","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Intrusion detection system; Internet of Things; Key (lock); Bridge (graph theory); Intrusion prevention system; Network 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":[0.001906522,0.0008956707,0.001014689,0.001598677,0.0005123497,0.002782731,0.002040668,0.001191654,0.0039892],"category_scores_gemma":[0.005968841,0.0006676851,0.001265094,0.002648351,0.001050982,0.005650877,0.001708453,0.001799583,0.0007474077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405776,"about_ca_system_score_gemma":0.0009141907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001433667,"about_ca_topic_score_gemma":0.001005413,"domain_scores_codex":[0.9986173,0.0003678884,0.0001612626,0.0002814947,0.0004852668,0.00008680589],"domain_scores_gemma":[0.9966905,0.002329253,0.0002026113,0.0004590093,0.0002657037,0.0000529819],"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":[0.0001192259,0.0001966059,0.002625234,0.002772866,0.0002340007,0.0002846408,0.0004451612,0.0650047,0.002588637,0.2601497,0.01075289,0.6548263],"study_design_scores_gemma":[0.0000322417,0.0001909145,0.002397856,0.001145474,0.0002463744,0.0008898156,0.0002042429,0.4845304,0.005876369,0.3488126,0.1555991,0.00007454813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02013294,0.150905,0.8017626,0.004366654,0.000422064,0.0002488663,0.000480863,0.00215635,0.01952467],"genre_scores_gemma":[0.3870862,0.178587,0.4156197,0.001518309,0.001535099,0.0004365691,0.002311376,0.0004987466,0.01240715],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0039892,"threshold_uncertainty_score":0.01334518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02311809529734,"score_gpt":0.241783554746114,"score_spread":0.2186654594487741,"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."}}