{"id":"W4401769656","doi":"10.18280/isi.290401","title":"For Robust DDoS Attack Detection by IDS: Smart Feature Selection and Data Imbalance Management Strategies","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Denial-of-service attack; Feature selection; Computer science; Application layer DDoS attack; Computer security; Artificial intelligence; World Wide Web; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004877062,0.000169162,0.0001274937,0.0002027315,0.0004060552,0.00184442,0.0003845541,0.0001309112,0.000004685801],"category_scores_gemma":[0.00002549109,0.0001644136,0.00003399546,0.0005950344,0.00004171827,0.01046249,0.0002045788,0.0001682832,0.00002106439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001555537,"about_ca_system_score_gemma":0.00003878612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002807505,"about_ca_topic_score_gemma":0.00007119533,"domain_scores_codex":[0.9988826,0.00003941685,0.0003031311,0.0003172047,0.0002091392,0.0002485216],"domain_scores_gemma":[0.9993296,0.00005010078,0.0001124175,0.0003474329,0.0001076818,0.00005281998],"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":[0.00005128906,0.00001780982,0.00002785591,0.001461526,0.0000929143,0.000001434024,0.001784386,0.002064805,0.0005938026,0.01745172,0.03209465,0.9443578],"study_design_scores_gemma":[0.0001965053,0.0001380685,0.0002538977,0.00015238,0.00001977686,0.00005917215,0.0003054981,0.8677298,0.0010724,0.003648274,0.1262218,0.0002024389],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007746138,0.0007420604,0.9878193,0.0002158674,0.0009818235,0.0005389405,0.00003647308,0.0005358558,0.001383581],"genre_scores_gemma":[0.9702023,0.0004574689,0.02835883,0.0001597693,0.0001887063,0.0001508508,0.000265702,0.0000144467,0.0002019652],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9624561,"threshold_uncertainty_score":0.9991918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917907991287354,"score_gpt":0.2531491921461428,"score_spread":0.2339701122332693,"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."}}