{"id":"W2076786893","doi":"10.1016/j.comcom.2007.12.028","title":"Game theoretic models for detecting network intrusions","year":2008,"lang":"en","type":"article","venue":"Computer Communications","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Network packet; Intrusion detection system; Computer network; Router; Packet drop attack; Game theory; Path (computing); Node (physics); Routing (electronic design automation); Packet forwarding; Computer security; Distributed computing; Routing protocol; 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":[0.005354934,0.001828284,0.002073297,0.001740805,0.0009202316,0.004837954,0.004188256,0.003414734,0.004213471],"category_scores_gemma":[0.02136483,0.0009604847,0.001287994,0.001556623,0.003401746,0.005553908,0.001901256,0.0033151,0.0004688804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004217212,"about_ca_system_score_gemma":0.002185619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009434097,"about_ca_topic_score_gemma":0.00743583,"domain_scores_codex":[0.9947141,0.003023339,0.0001865946,0.0005706724,0.0009553107,0.0005499239],"domain_scores_gemma":[0.9772743,0.01902816,0.001287542,0.0007630406,0.0009297323,0.0007171874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001601271,0.0001283113,0.001037719,0.0001303286,0.0001174806,0.0001845611,0.0002824295,0.3965744,0.0004927032,0.5895543,0.002337296,0.009000371],"study_design_scores_gemma":[0.00004856907,0.00003480406,0.0001134331,0.00001341954,0.00002512591,0.00003842041,0.00005120912,0.7146133,0.00008891232,0.2842754,0.0006814628,0.00001595065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06299824,0.0006664011,0.9144506,0.002999504,0.0001157179,0.0002902179,0.0003788037,0.0002951814,0.01780534],"genre_scores_gemma":[0.9151441,0.000734038,0.07366106,0.0004093337,0.0001254205,0.0003349761,0.0002784535,0.00005051288,0.00926206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009434097,"threshold_uncertainty_score":0.0305981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05402245004381441,"score_gpt":0.2640879852222824,"score_spread":0.210065535178468,"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."}}