{"id":"W2121452655","doi":"10.1109/icdcsw.2007.91","title":"A Cooperative Approach for Analyzing Intrusions in Mobile Ad hoc Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"False positive paradox; Computer science; Mobile ad hoc network; Intrusion detection system; Node (physics); Class (philosophy); Game theory; Reputation; Shapley value; Wireless ad hoc network; Computer security; Artificial intelligence; Mathematics; Wireless; Engineering","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":[0.005628698,0.001732883,0.001462203,0.002450458,0.000799475,0.001633965,0.0026261,0.001752582,0.0006831553],"category_scores_gemma":[0.01266856,0.0006086174,0.001242881,0.001543438,0.002923525,0.002585725,0.001765592,0.001089144,0.0001663005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522358,"about_ca_system_score_gemma":0.001125535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001835554,"about_ca_topic_score_gemma":0.001079714,"domain_scores_codex":[0.995353,0.002148071,0.0002396108,0.0006376159,0.001325395,0.0002964035],"domain_scores_gemma":[0.9912677,0.005792112,0.00103084,0.0007447667,0.0009039087,0.0002606959],"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":[0.0001042436,0.0002002517,0.002878783,0.0001624434,0.0002027808,0.0003372778,0.0003688905,0.8727218,0.007349327,0.07799561,0.0003864085,0.03729213],"study_design_scores_gemma":[0.00001112951,0.0001177716,0.0001907862,0.000007744663,0.00003619796,0.00007752315,0.00003904311,0.9793727,0.0008771762,0.01880554,0.0004531214,0.0000113154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01642185,0.0001815912,0.9821181,0.00008499667,0.00002130406,0.00008284352,0.00001233638,0.00007468182,0.001002319],"genre_scores_gemma":[0.7541695,0.0004126094,0.2429768,0.0001376172,0.0001056529,0.0004124208,0.00006273481,0.00003393335,0.001688789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005628698,"threshold_uncertainty_score":0.02976781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513698251937869,"score_gpt":0.2645134588495537,"score_spread":0.249376476330175,"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."}}