{"id":"W2108295909","doi":"10.1109/ares.2008.68","title":"An Intrusion-Tolerant Mechanism for Intrusion Detection Systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intrusion detection system; Computer science; Component (thermodynamics); Intrusion tolerance; Mechanism (biology); Computer security; Anomaly-based intrusion detection system; Intrusion; Host-based intrusion detection system; Intrusion prevention system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004590555,0.00095532,0.001118833,0.002436022,0.001329333,0.003163688,0.003777248,0.001559947,0.00241228],"category_scores_gemma":[0.008706173,0.0005529375,0.0007446358,0.001347409,0.001605141,0.004680667,0.002544567,0.002095928,0.00123993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327035,"about_ca_system_score_gemma":0.001654004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000603171,"about_ca_topic_score_gemma":0.0005878446,"domain_scores_codex":[0.9950032,0.0008031707,0.0008004026,0.0007236785,0.002417115,0.000252485],"domain_scores_gemma":[0.9935884,0.00116497,0.000798167,0.002302572,0.001806007,0.0003397794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001223362,0.001161002,0.005704958,0.001522942,0.0006802505,0.001358693,0.001512447,0.06020996,0.1046045,0.2863166,0.03092414,0.5047811],"study_design_scores_gemma":[0.0004046285,0.001340112,0.001752584,0.0002729479,0.0005790902,0.003198441,0.0002369299,0.5985668,0.1263105,0.07560311,0.1913995,0.0003354222],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0196566,0.0008074481,0.9578426,0.0008516583,0.0006417248,0.0005456716,0.0001072328,0.01312487,0.006422226],"genre_scores_gemma":[0.5592182,0.00104596,0.4264436,0.001423102,0.0005185754,0.000687607,0.0004118444,0.0003580182,0.009893051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004590555,"threshold_uncertainty_score":0.02427745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800391870886569,"score_gpt":0.2305414097263165,"score_spread":0.2125374910174508,"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."}}