{"id":"W2315559391","doi":"10.1109/cce.2014.6916760","title":"A discounted stochastic game approach to intrusion detection in wireless ad hoc networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Wireless ad hoc network; Intrusion detection system; Game theory; Wireless network; Wireless; Mobile ad hoc network; Computer network; Distributed computing; Network packet; Computer security; Mathematical economics; Mathematics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002219006,0.00165512,0.001603861,0.001084263,0.0006031731,0.0018714,0.002819176,0.00127181,0.001653697],"category_scores_gemma":[0.004978078,0.0006135534,0.001077841,0.0009723053,0.002142825,0.001919659,0.001473005,0.001796708,0.0001712127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003052317,"about_ca_system_score_gemma":0.002284951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008092402,"about_ca_topic_score_gemma":0.007019293,"domain_scores_codex":[0.9980411,0.0009985898,0.00008176188,0.0002243892,0.0004369082,0.0002173536],"domain_scores_gemma":[0.997743,0.0016533,0.0001790642,0.00005519631,0.0002288061,0.0001406538],"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":[0.00002910677,0.00003920245,0.0002733169,0.00006898826,0.00004680148,0.0001264525,0.0000614329,0.8170837,0.0007097344,0.1758423,0.0003559915,0.00536292],"study_design_scores_gemma":[0.000007679561,0.00002871867,0.00004827614,0.000006095919,0.00001155454,0.00002437801,0.00001299477,0.9638279,0.0001003696,0.03552023,0.0004025412,0.000009170182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01286446,0.0004892925,0.9814793,0.0002296169,0.00008585517,0.00006612897,0.00005346107,0.00005306476,0.004678742],"genre_scores_gemma":[0.8887242,0.001408729,0.1019543,0.0001706279,0.0001524075,0.0003100154,0.0000973553,0.00003795612,0.007144426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008092402,"threshold_uncertainty_score":0.02214628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007664887230507462,"score_gpt":0.2135142492585375,"score_spread":0.2058493620280301,"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."}}