{"id":"W3011665611","doi":"10.1088/1742-6596/1471/1/012019","title":"Comparison of Data Mining Algorithm: PSO-KNN, PSO-RF, and PSO-DT to Measure Attack Detection Accuracy Levels on Intrusion Detection System","year":2020,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Particle swarm optimization; Intrusion detection system; Computer science; Decision tree; Algorithm; Data mining; Firewall (physics); Artificial intelligence; Mathematics","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":[0.002601455,0.00100142,0.001269657,0.002847442,0.0005294222,0.001145752,0.001005074,0.0009757599,0.0006918247],"category_scores_gemma":[0.01124879,0.0002503786,0.0008442731,0.001953032,0.0002795146,0.001295891,0.0004170249,0.00080198,0.000270548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006679552,"about_ca_system_score_gemma":0.0009966751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006038929,"about_ca_topic_score_gemma":0.004116058,"domain_scores_codex":[0.9982399,0.0003269935,0.0003097105,0.0003870748,0.0006041332,0.0001321704],"domain_scores_gemma":[0.9953682,0.002235054,0.0003897867,0.0003222846,0.001557315,0.0001273544],"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":[0.001304788,0.0009871642,0.06991987,0.0007067568,0.0006541443,0.000155807,0.0002503162,0.4489442,0.005762113,0.001604973,0.006453433,0.4632564],"study_design_scores_gemma":[0.00003850327,0.000273724,0.008808415,0.00003765598,0.00006204363,0.000107003,0.0001081926,0.9847443,0.004461708,0.0004668732,0.0008686587,0.00002305496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7543321,0.003826746,0.2279605,0.000822703,0.0004888229,0.0004049242,0.001662025,0.002728552,0.007773557],"genre_scores_gemma":[0.9062303,0.0005845426,0.08924101,0.0001123905,0.0000428787,0.0001972798,0.00239052,0.00006864424,0.001132406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006038929,"threshold_uncertainty_score":0.013758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1473311722292508,"score_gpt":0.3302648042046528,"score_spread":0.182933631975402,"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."}}