{"id":"W4317207036","doi":"10.3390/app13031252","title":"Explainable Artificial Intelligence (XAI) for Intrusion Detection and Mitigation in Intelligent Connected Vehicles: A Review","year":2023,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"Conestoga College","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Ministry of Education, Science and Technology; National Research Foundation of Korea; National Research Foundation","keywords":"Computer science; Transparency (behavior); Computer security; Scope (computer science); Intrusion detection system; Internet of Things","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":[0.001001782,0.001119516,0.0009379399,0.002551096,0.0003378213,0.001770141,0.001047482,0.001447905,0.002811166],"category_scores_gemma":[0.002351111,0.0003545506,0.0008787655,0.003123686,0.0008897416,0.002328906,0.0007701276,0.001582253,0.0009444139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002212,"about_ca_system_score_gemma":0.001509522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001725849,"about_ca_topic_score_gemma":0.001595102,"domain_scores_codex":[0.9995627,0.0001171021,0.00005503183,0.00008688359,0.0001478778,0.00003036261],"domain_scores_gemma":[0.9980714,0.001524047,0.0001131196,0.00005420357,0.0002035624,0.0000336909],"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":[0.00002744491,0.0001022431,0.0007906087,0.0212533,0.0002138285,0.0002346204,0.0002964999,0.006861944,0.0007978121,0.107391,0.01807108,0.8439597],"study_design_scores_gemma":[0.00001091805,0.0001920722,0.001687825,0.01287943,0.0002952994,0.001131497,0.0003433944,0.007562733,0.001044532,0.07358035,0.9011839,0.00008814654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004419712,0.9885702,0.005753883,0.0007722669,0.0002641915,0.00001634717,0.00002473077,0.00002254455,0.004133915],"genre_scores_gemma":[0.007364082,0.9883263,0.002785986,0.0002794605,0.0003646939,0.00002687557,0.00004305547,0.000008002368,0.0008015583],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002811166,"threshold_uncertainty_score":0.009404302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006367250751149,"score_gpt":0.3679713352342253,"score_spread":0.2673346101591104,"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."}}