{"id":"W7081952647","doi":"10.57238/csj.2025.1006","title":"Leveraging deep Learning for Efficient Intrusion Detection in IoT Networks","year":2025,"lang":"en","type":"article","venue":"CyberSystem journal.","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internet of Things; Deep learning; Intrusion detection system; Artificial neural network; Field (mathematics); The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008035176,0.0006318872,0.0005907211,0.0007569816,0.0003083686,0.0007372634,0.0007794344,0.0006429777,0.0004590925],"category_scores_gemma":[0.002048691,0.0003368643,0.0004478773,0.0006417707,0.0004166085,0.001474515,0.0009494527,0.0009549599,0.000204808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007676844,"about_ca_system_score_gemma":0.000740561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004256387,"about_ca_topic_score_gemma":0.005284955,"domain_scores_codex":[0.9996177,0.00007865858,0.00002925961,0.00007413721,0.0001142096,0.00008601954],"domain_scores_gemma":[0.9994751,0.0002346781,0.00007681517,0.00005559054,0.0001332024,0.00002459918],"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":[0.0001722188,0.0002464061,0.006206058,0.00008859434,0.000108754,0.0001526778,0.00008367921,0.6644948,0.01301045,0.00327399,0.002297099,0.3098653],"study_design_scores_gemma":[0.000001278967,0.00001428695,0.0001928055,0.000002669804,0.000003812364,0.00001207912,0.000005008534,0.9972928,0.001388736,0.0009169288,0.0001676785,0.000001993449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1708759,0.001006557,0.8221326,0.0007712272,0.0001107531,0.00007085076,0.0001514107,0.00195655,0.002924183],"genre_scores_gemma":[0.9132788,0.0004176979,0.0841454,0.0002104618,0.00003773984,0.00005214156,0.0002598083,0.00004098114,0.001557023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004256387,"threshold_uncertainty_score":0.008463264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008566484151659583,"score_gpt":0.2206583926994692,"score_spread":0.2120919085478096,"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."}}