{"id":"W4206281848","doi":"10.1109/jiot.2021.3138094","title":"DDoS Defense for IoT: A Stackelberg Game Model-Enabled Collaborative Framework","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Denial-of-service attack; Network packet; Application layer DDoS attack; Packet drop attack; Trinoo; Stackelberg competition; Spoofing attack; Computer security; The Internet; Routing protocol","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":[0.001818777,0.001472951,0.001563678,0.001015911,0.0009909685,0.002570534,0.002142157,0.002292039,0.002451822],"category_scores_gemma":[0.003113169,0.0006316329,0.001582135,0.0007759391,0.00217659,0.002727662,0.002002448,0.002024659,0.0002934904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002462907,"about_ca_system_score_gemma":0.002851429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008630631,"about_ca_topic_score_gemma":0.005862233,"domain_scores_codex":[0.9986421,0.0004742011,0.00005683376,0.0002606024,0.0002998783,0.000266383],"domain_scores_gemma":[0.9986011,0.0008034482,0.000214622,0.00004779866,0.000194874,0.0001381513],"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":[0.00005354683,0.00008213087,0.0006089935,0.0001029681,0.00006056655,0.0003171978,0.0001890315,0.7946911,0.001585526,0.1928483,0.0009833158,0.008477277],"study_design_scores_gemma":[0.00001320022,0.00003239928,0.00005965151,0.000008221838,0.00001495796,0.00002912177,0.00003177338,0.9674109,0.00009625727,0.03173245,0.0005594052,0.00001174547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01919936,0.0004645601,0.9694151,0.0005369886,0.00007414461,0.0001182304,0.00007092479,0.00009256417,0.01002799],"genre_scores_gemma":[0.9147259,0.00126121,0.07646613,0.0002313324,0.0001093964,0.0003972071,0.00007916812,0.00003512029,0.006694664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008630631,"threshold_uncertainty_score":0.01786971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160252050509975,"score_gpt":0.2633819334681821,"score_spread":0.2473567284171846,"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."}}