{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00240482,0.001021611,0.001215101,0.002186295,0.0006805359,0.001814455,0.001221426,0.0009405271,0.001091013],"category_scores_gemma":[0.009304842,0.0003165588,0.0008812035,0.0009911126,0.0005586785,0.002086101,0.001145794,0.001643675,0.0009103874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007947701,"about_ca_system_score_gemma":0.001199771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002284755,"about_ca_topic_score_gemma":0.00229212,"domain_scores_codex":[0.9985141,0.0004439171,0.0001142172,0.0003074428,0.0004796811,0.0001404933],"domain_scores_gemma":[0.9970939,0.001649815,0.000345078,0.0002971318,0.0005200361,0.0000939889],"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":[0.000261293,0.0003805608,0.01722017,0.0001853263,0.0001876112,0.0001436016,0.0001927883,0.3681804,0.007689725,0.01096641,0.00498582,0.5896063],"study_design_scores_gemma":[0.000006454275,0.0000472781,0.0008689543,0.00001870038,0.00001359568,0.00006571223,0.00003770507,0.9918601,0.002187997,0.003929839,0.0009538324,0.000009882544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05443119,0.0006525199,0.9368233,0.0007292636,0.0001078458,0.000105295,0.0001326273,0.003987079,0.003030852],"genre_scores_gemma":[0.6565064,0.0004842556,0.3397902,0.0003053488,0.0001430569,0.0001619755,0.0005603421,0.0001791542,0.001869295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00240482,"threshold_uncertainty_score":0.01271808,"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."}}