{"id":"W2000773362","doi":"10.1109/comswa.2007.382483","title":"APHIDS++: A Mobile Agent Based Intrusion Detection System","year":2007,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intrusion detection system; Computer science; Mobile agent; Computer security; Computer network","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":[0.000376222,0.0005384522,0.0004991971,0.0004753986,0.0002845052,0.000717844,0.00106048,0.0005431036,0.003819048],"category_scores_gemma":[0.000995175,0.0002968371,0.0002464804,0.000186172,0.0002802708,0.0009133074,0.0008728823,0.0007490888,0.00123468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373054,"about_ca_system_score_gemma":0.0003723827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009597345,"about_ca_topic_score_gemma":0.0007623023,"domain_scores_codex":[0.9996794,0.00005270477,0.0000382535,0.00007363135,0.0001319202,0.00002409944],"domain_scores_gemma":[0.9996715,0.0000913472,0.00004531533,0.00007002697,0.00005981139,0.00006203821],"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":[0.002641788,0.0007745648,0.008961183,0.0008807948,0.0002949936,0.001488373,0.0004936363,0.02061872,0.2571011,0.01025616,0.05194921,0.6445395],"study_design_scores_gemma":[0.0009297043,0.001782922,0.008112966,0.00008145782,0.000345249,0.003395666,0.00008645428,0.60326,0.1893151,0.005255227,0.1872194,0.0002158631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2241596,0.001089029,0.5367094,0.000887948,0.0005566857,0.001706813,0.001939007,0.2091298,0.02382169],"genre_scores_gemma":[0.486331,0.0004330695,0.4860252,0.0007015136,0.000113187,0.000486448,0.00216368,0.0007460708,0.02299994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003819048,"threshold_uncertainty_score":0.01277602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008534649901150609,"score_gpt":0.2191159150503356,"score_spread":0.210581265149185,"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."}}