{"id":"W2133389611","doi":"10.5539/mas.v5n6p218","title":"Mobile Agents in Intrusion Detection System: Review and Analysis","year":2011,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intrusion detection system; Intrusion; Computer science; Intrusion prevention system; Computer security; System administrator; Network administrator; Anomaly-based intrusion detection system; Host-based intrusion detection system; Task (project management); Intervention (counseling); Engineering; Medicine; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002614467,0.0008377331,0.0016445,0.004374934,0.0005309517,0.002094198,0.002152283,0.002321597,0.002837357],"category_scores_gemma":[0.004950574,0.0006248206,0.000736861,0.007031025,0.001125147,0.003589899,0.0007925206,0.001411837,0.001870907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014541,"about_ca_system_score_gemma":0.00221452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002933027,"about_ca_topic_score_gemma":0.002432842,"domain_scores_codex":[0.9981754,0.0003972358,0.0003036675,0.0002633365,0.0007861356,0.00007423073],"domain_scores_gemma":[0.9903786,0.005944898,0.0006155928,0.0002043649,0.002692902,0.0001636615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001140836,0.0001264162,0.001511033,0.02068845,0.0001918743,0.0004149618,0.0002978301,0.002779426,0.001017426,0.01272938,0.02391979,0.9362094],"study_design_scores_gemma":[0.00001943931,0.0002825426,0.002827509,0.008652922,0.0003651959,0.002011999,0.0003445737,0.002822998,0.002159956,0.008430093,0.9720086,0.00007413121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000412815,0.9946202,0.00204838,0.0007539856,0.0002944116,0.0000152917,0.0000152873,0.00001453323,0.00182505],"genre_scores_gemma":[0.005888083,0.9896757,0.002437252,0.0003594358,0.0006516522,0.00002476774,0.0000456382,0.000008944926,0.000908607],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004374934,"threshold_uncertainty_score":0.01382679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509867350458532,"score_gpt":0.2435675436363365,"score_spread":0.2184688701317512,"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."}}