{"id":"W4389428932","doi":"10.1109/csitss60515.2023.10334188","title":"Network Intrusion Detection for IoT-Botnet Attacks Using ML Algorithms","year":2023,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Botnet; Random forest; Decision tree; Naive Bayes classifier; Machine learning; Classifier (UML); Artificial intelligence; Random tree; Computer security; Intrusion detection system; Network security; Algorithm; Support vector machine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006567381,0.0001615538,0.000169499,0.0001701355,0.0006205249,0.0001889285,0.000401601,0.0001562443,0.00004600887],"category_scores_gemma":[0.00003896839,0.0001528903,0.0001019172,0.001547379,0.0000273952,0.0003726175,0.0003132589,0.000161207,0.0001184359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007454375,"about_ca_system_score_gemma":0.00003727143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006413373,"about_ca_topic_score_gemma":0.00007606934,"domain_scores_codex":[0.9984111,0.00006834537,0.0002859782,0.000477353,0.0002530167,0.000504198],"domain_scores_gemma":[0.9991478,0.0001496761,0.00009978413,0.0003987829,0.0001062589,0.00009770952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005101742,0.00003907588,0.00005856077,0.00003167444,0.00002696615,0.000007711481,0.0003099192,0.05892694,0.007055894,0.0108948,0.02051969,0.9020777],"study_design_scores_gemma":[0.0002698388,0.0001619247,0.0002103865,0.00002128627,0.000006577709,0.00001834696,0.00001550094,0.9459966,0.005088334,0.018665,0.02934276,0.0002034795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0395741,0.00005015222,0.9549235,0.0004184944,0.003340662,0.0003673115,0.000001280999,0.0009714004,0.0003530667],"genre_scores_gemma":[0.6948572,0.0001308399,0.2957232,0.00180174,0.005326071,0.0001388268,0.00002125719,0.00007400168,0.001926841],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9018743,"threshold_uncertainty_score":0.6234684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04104877870869922,"score_gpt":0.2869275025523609,"score_spread":0.2458787238436617,"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."}}