{"id":"W1511785468","doi":"10.1109/snpd-sawn.2005.31","title":"DIDMA: A Distributed Intrusion Detection System Using Mobile Agents","year":2005,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Intrusion detection system; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.0002239226,0.0001292305,0.0001298057,0.0001064228,0.000341137,0.0001590909,0.0003292303,0.0001007182,0.00006014632],"category_scores_gemma":[0.000009954143,0.000116098,0.00006785114,0.0005847185,0.00001766282,0.0007732258,0.0002387928,0.0001373553,0.0001463555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002964057,"about_ca_system_score_gemma":0.00001826214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008240707,"about_ca_topic_score_gemma":0.00006055453,"domain_scores_codex":[0.9988081,0.00007921604,0.0002626428,0.0003371248,0.0002569084,0.0002560108],"domain_scores_gemma":[0.999337,0.0000232874,0.00009615735,0.0003708308,0.00007563592,0.00009711044],"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":[0.00005679891,0.0002900743,0.0001526835,0.00008200976,0.00004053176,0.00002282502,0.0007365686,0.04185112,0.0514756,0.01096462,0.001542471,0.8927847],"study_design_scores_gemma":[0.0002250124,0.00007894948,0.0001385093,0.00002904002,0.000005766416,0.0000753882,0.00003907698,0.9338332,0.04365844,0.00007112883,0.02169391,0.0001515646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3117757,0.000043048,0.686433,0.00004278078,0.0006094968,0.0001721578,0.000001355679,0.0004463104,0.0004761865],"genre_scores_gemma":[0.9892963,0.00001031026,0.01019084,0.00009219226,0.0003198615,0.00001887977,0.000002817793,0.00000730657,0.00006155405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8926331,"threshold_uncertainty_score":0.4734338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150405289182683,"score_gpt":0.2402249227898919,"score_spread":0.2251843938716236,"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."}}