{"id":"W3210896474","doi":"10.1109/jiot.2021.3122115","title":"Differential Game Approach for Attack-Defense Strategy Analysis in Internet of Things Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Beijing Municipal Natural Science Foundation; Toyota Motor Corporation; National Natural Science Foundation of China; Amazon Catalyst; National Science Foundation","keywords":"Computer science; Differential game; Game theory; Computer security; Stackelberg competition; Saddle point; Competition (biology); Nash equilibrium; Resource (disambiguation); Mathematical optimization; Computer network; Mathematical economics; Mathematics","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":[0.00118272,0.001524845,0.0011389,0.001020844,0.0007105379,0.00142769,0.001345008,0.001823378,0.002919781],"category_scores_gemma":[0.002449577,0.0005511385,0.001441718,0.000718901,0.001424358,0.001558413,0.001297832,0.001907338,0.0002637169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002170029,"about_ca_system_score_gemma":0.001508785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01238173,"about_ca_topic_score_gemma":0.00642855,"domain_scores_codex":[0.9993031,0.0002887627,0.00002817994,0.0001101043,0.0001529121,0.0001167791],"domain_scores_gemma":[0.9991393,0.0005490556,0.00009472207,0.00002256783,0.0001406335,0.00005367407],"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":[0.00001728959,0.00003662269,0.0008422318,0.0001000938,0.00006015863,0.0002519537,0.0001165167,0.8265844,0.001364699,0.1655482,0.0009723075,0.004105582],"study_design_scores_gemma":[0.000003054123,0.00001129902,0.00007926587,0.000005901997,0.000006836388,0.00001486135,0.00002207621,0.9863501,0.00005945766,0.0130424,0.0003985018,0.000006170169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01508113,0.0008917392,0.9695477,0.0006053134,0.0001614248,0.00008392127,0.0001139077,0.00005063091,0.01346414],"genre_scores_gemma":[0.910794,0.002436269,0.0669781,0.0004375996,0.0001628884,0.0005309182,0.000201367,0.0000624069,0.01839637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01238173,"threshold_uncertainty_score":0.02461934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390948115602086,"score_gpt":0.2606161694331621,"score_spread":0.2367066882771412,"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."}}