{"id":"W2792488777","doi":"10.1002/itl2.31","title":"Accuracy or delay? A game in detecting interest flooding attacks","year":2018,"lang":"en","type":"article","venue":"Internet Technology Letters","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Computer science; Flooding (psychology); Network packet; Computer network; Router; Computer security; Real-time computing","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":[0.005864429,0.0007432866,0.000806791,0.001264719,0.001109253,0.003022637,0.001621868,0.001762252,0.001513511],"category_scores_gemma":[0.03511524,0.0003865632,0.000319385,0.0005754297,0.00193783,0.006108736,0.002031082,0.002145429,0.0002543151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882917,"about_ca_system_score_gemma":0.001060948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338637,"about_ca_topic_score_gemma":0.001490775,"domain_scores_codex":[0.995787,0.001827287,0.0002220557,0.0006060243,0.001007618,0.0005500445],"domain_scores_gemma":[0.973851,0.01893094,0.002282773,0.00183541,0.002103834,0.0009961177],"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":[0.002970878,0.0006577112,0.03905816,0.0003421359,0.000279158,0.001183538,0.002036149,0.3280585,0.05442013,0.2962345,0.007577198,0.2671819],"study_design_scores_gemma":[0.00005054616,0.0004277172,0.002267199,0.00002907046,0.00006683391,0.0004825564,0.0003216645,0.9234514,0.01005876,0.06041004,0.002366786,0.00006738251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4083385,0.001499213,0.5671587,0.005635285,0.0003081655,0.0002718788,0.0001218258,0.0009153703,0.01575109],"genre_scores_gemma":[0.9793124,0.0001039759,0.01953843,0.0001577516,0.00004356867,0.00002565392,0.00001448268,0.00002534206,0.0007783276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005864429,"threshold_uncertainty_score":0.03101444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436938044368684,"score_gpt":0.275800473607103,"score_spread":0.2414310931634161,"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."}}