{"id":"W4214735369","doi":"10.1109/imcom53663.2022.9721785","title":"Designing Ensemble Deep Learning Intrusion Detection System for DDoS attacks in Software Defined Networks","year":2022,"lang":"en","type":"article","venue":"2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Denial-of-service attack; Intrusion detection system; Deep learning; Artificial intelligence; Recurrent neural network; Software-defined networking; Machine learning; Ensemble learning; Single point of failure; Convolutional neural network; Network security; Ensemble forecasting; Artificial neural network; Data mining; Computer network; The Internet; Operating system","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":[0.0008603964,0.0007430628,0.000821782,0.0007652135,0.0004223224,0.0005965206,0.001159771,0.0006578868,0.0008747518],"category_scores_gemma":[0.001290359,0.0003831168,0.0005589286,0.0003458851,0.0002200113,0.00122516,0.0008068394,0.0009459314,0.0002559308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008510878,"about_ca_system_score_gemma":0.0008179998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005950082,"about_ca_topic_score_gemma":0.006480313,"domain_scores_codex":[0.9996226,0.00004206046,0.00003145706,0.0001196555,0.0001002921,0.00008385095],"domain_scores_gemma":[0.9996012,0.0000754001,0.0000501643,0.00004183429,0.0002014187,0.00003010861],"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":[0.0003370597,0.0004532171,0.0163409,0.00009414087,0.0002533876,0.0002720331,0.0001464303,0.4906719,0.02965684,0.002244136,0.004004286,0.4555256],"study_design_scores_gemma":[0.000003756026,0.00005004216,0.0004895666,0.000002933239,0.00001577427,0.00002386607,0.00000662102,0.9945622,0.004220796,0.0003352012,0.0002845081,0.000004664626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1895406,0.0005401149,0.8007051,0.0004336309,0.0001340982,0.0001556807,0.0001995529,0.005586454,0.002704679],"genre_scores_gemma":[0.9135118,0.0002249349,0.08352387,0.0002109854,0.00002604213,0.0001140569,0.0003054203,0.00004406799,0.002038833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005950082,"threshold_uncertainty_score":0.01183093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995301768101122,"score_gpt":0.2426137788322157,"score_spread":0.2226607611512045,"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."}}