{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004599295,0.0004264085,0.000365863,0.0002036802,0.0003756231,0.000549084,0.001758695,0.0003158318,0.00007636149],"category_scores_gemma":[0.00005275703,0.0004265025,0.000214431,0.0004422696,0.00006472458,0.0005135001,0.0002079462,0.0007131927,0.00003903751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002593097,"about_ca_system_score_gemma":0.00008266783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004777774,"about_ca_topic_score_gemma":0.00005158119,"domain_scores_codex":[0.997012,0.0001036054,0.000596427,0.0009983394,0.0005691533,0.000720445],"domain_scores_gemma":[0.9977998,0.0003874455,0.000372819,0.0007724514,0.0004524033,0.0002150769],"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":[0.0001756915,0.000180729,0.00005691392,0.000001970247,0.00004345431,0.00001191285,0.00006791842,0.1251195,0.0002685546,0.195273,0.0007534872,0.6780469],"study_design_scores_gemma":[0.0007324445,0.0009627828,0.0008712127,0.0002082164,0.000007987695,0.00001297946,0.00002127681,0.9888865,0.0002612122,0.002901265,0.004691834,0.0004423322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02584598,0.0002447999,0.9640185,0.001436077,0.002912489,0.000858771,0.000007260832,0.00043999,0.004236155],"genre_scores_gemma":[0.9909223,0.0005558656,0.004440209,0.002124647,0.00118732,0.0003274266,0.00004929541,0.00003227226,0.0003606095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9650764,"threshold_uncertainty_score":0.9998187,"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."}}