{"id":"W131214474","doi":"","title":"Anomaly Detection Scheme for Routing Intrusions on Mobile Ad Hoc Networks.","year":2009,"lang":"en","type":"article","venue":"International Conference on Wireless Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Mobile ad hoc network; Wireless ad hoc network; Adaptive quality of service multi-hop routing; Computer network; Intrusion detection system; Optimized Link State Routing Protocol; Scheme (mathematics); Anomaly detection; Ad hoc wireless distribution service; Routing (electronic design automation); Routing protocol; Computer security; Data mining; Telecommunications; Mathematics; Wireless","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":[0.002488326,0.0005842583,0.001497504,0.002429774,0.001189516,0.0009493587,0.002196649,0.001133425,0.0009138493],"category_scores_gemma":[0.0073468,0.000233776,0.0004609478,0.001249308,0.0008054782,0.002705791,0.001549611,0.001593315,0.0003950854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009510593,"about_ca_system_score_gemma":0.0009638003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102245,"about_ca_topic_score_gemma":0.001012664,"domain_scores_codex":[0.9980479,0.0004417029,0.0002157138,0.0002863932,0.0007927004,0.0002154608],"domain_scores_gemma":[0.9935253,0.002085588,0.0006214431,0.001285286,0.002124078,0.0003583401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00232627,0.0006652057,0.01397173,0.0002630812,0.0003722179,0.0006495766,0.0003972274,0.05962914,0.07015993,0.0242384,0.01169275,0.8156345],"study_design_scores_gemma":[0.0001239794,0.0008774164,0.002250707,0.00002328211,0.00013389,0.001207709,0.0001257398,0.948524,0.02827317,0.01349174,0.004892637,0.00007564339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09397643,0.001009263,0.897225,0.000575829,0.0005870566,0.0002917476,0.0001817852,0.004479601,0.001673196],"genre_scores_gemma":[0.8226897,0.0003196051,0.1743415,0.0001660245,0.0002104023,0.0001489789,0.0003384961,0.00005461574,0.001730708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002488326,"threshold_uncertainty_score":0.01315969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314366307888726,"score_gpt":0.2783144454073846,"score_spread":0.2551707823284974,"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."}}