{"id":"W2911385943","doi":"10.1109/desec.2018.8625119","title":"Network Security for IoT Using SDN: Timely DDoS Detection","year":2018,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Denial-of-service attack; Computer science; Software-defined networking; Computer network; Application layer DDoS attack; Trinoo; Computer security; Internet of Things; Network security; The Internet; Distributed computing; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00118771,0.0005757654,0.0006255475,0.001026447,0.0006509803,0.001485471,0.0008766351,0.0008832348,0.000737282],"category_scores_gemma":[0.001936332,0.0002563753,0.0003518026,0.0006040069,0.0006597869,0.001926721,0.001566998,0.001002042,0.0002818266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006998202,"about_ca_system_score_gemma":0.0007507238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003808097,"about_ca_topic_score_gemma":0.0003559442,"domain_scores_codex":[0.9988704,0.0001746897,0.00006564341,0.0001543354,0.0006510949,0.00008381543],"domain_scores_gemma":[0.9991541,0.000214033,0.0001366977,0.0001908195,0.0002398208,0.00006451028],"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":[0.0006529798,0.0003678917,0.01108549,0.0008245477,0.0001824829,0.0006508691,0.0003717974,0.09341782,0.1308258,0.1220466,0.01662745,0.6229462],"study_design_scores_gemma":[0.00005111906,0.0003638959,0.002705639,0.0001897558,0.00009107919,0.001258215,0.000120353,0.8120894,0.07595835,0.0650541,0.04203999,0.00007799411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02333615,0.002857324,0.9614282,0.0008807351,0.0005736114,0.0001471323,0.00009786082,0.001692242,0.008986784],"genre_scores_gemma":[0.7721104,0.002963103,0.2203423,0.0004791689,0.0003452903,0.0001744028,0.000325372,0.0001227128,0.003137141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001485471,"threshold_uncertainty_score":0.006281316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488083395120191,"score_gpt":0.2593015644764041,"score_spread":0.2344207305252022,"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."}}