{"id":"W2784496769","doi":"10.1007/978-3-319-74439-1_7","title":"Integrating Intrusion Response Functionality into the MANET Specific Dynamic Intrusion Detection Hierarchy Architecture","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Intrusion detection system; Backup; Computer science; Mobile ad hoc network; Computer network; Node (physics); Architecture; Intrusion; Distributed computing; Computer security; Engineering; Operating system; Network packet","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":[0.0006912832,0.0005190381,0.0003873697,0.0007301209,0.0003258621,0.001488751,0.001787134,0.0006185922,0.005931485],"category_scores_gemma":[0.001099602,0.0004518373,0.0005119416,0.0006111786,0.0003940879,0.001933252,0.001487029,0.001413651,0.002812003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005880892,"about_ca_system_score_gemma":0.0007560815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001776865,"about_ca_topic_score_gemma":0.003112557,"domain_scores_codex":[0.9996071,0.00004287873,0.0000347861,0.00007932346,0.000176842,0.0000589988],"domain_scores_gemma":[0.9994666,0.00009859785,0.00002986732,0.000211647,0.0001418619,0.00005135973],"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":[0.0004075544,0.0004204363,0.002876489,0.0007750128,0.0002038603,0.0003498444,0.0005082662,0.02962573,0.1453079,0.0547998,0.02738535,0.7373397],"study_design_scores_gemma":[0.00006418832,0.0004845315,0.002883009,0.0001900389,0.0003279116,0.001153173,0.0001501829,0.4926416,0.1776438,0.05242159,0.2719124,0.0001276727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01603048,0.0006590213,0.9387746,0.0004240396,0.0002179371,0.0003465824,0.0002712044,0.0239165,0.01935964],"genre_scores_gemma":[0.2645564,0.001152766,0.6873336,0.0008484406,0.0001788458,0.0002090496,0.001676595,0.001670809,0.04237336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005931485,"threshold_uncertainty_score":0.0198428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324017772244779,"score_gpt":0.2288857526501488,"score_spread":0.215645574927701,"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."}}