{"id":"W2118145999","doi":"10.5539/cis.v3n4p240","title":"Using Visual Analytics to Develop Situation Awareness in Network Intrusion Detection System","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Intrusion detection system; Visual analytics; Analytics; Visualization; Usability; Computer security; Network security; Context (archaeology); Human–computer interaction; Data science; Data mining","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":[0.001317414,0.0009151371,0.0003060945,0.001605905,0.0003214491,0.002293996,0.0007502846,0.0005027746,0.003269071],"category_scores_gemma":[0.005644252,0.0003724056,0.0004383597,0.0005523865,0.0004075968,0.002289154,0.001427321,0.000869572,0.0006864707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005070135,"about_ca_system_score_gemma":0.0004995331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001612505,"about_ca_topic_score_gemma":0.001324991,"domain_scores_codex":[0.9995036,0.0002066411,0.00003849396,0.00008463008,0.0001278678,0.00003881045],"domain_scores_gemma":[0.9982775,0.001021506,0.0001126775,0.0001301577,0.0003625902,0.00009551336],"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":[0.0007353459,0.0005550794,0.009735335,0.001181134,0.0001500491,0.001023703,0.01314235,0.07204945,0.07912992,0.04519834,0.02291272,0.7541866],"study_design_scores_gemma":[0.0001699229,0.0005591228,0.008315442,0.0005565824,0.0001988478,0.000977012,0.003744767,0.7744388,0.07529501,0.05578527,0.07975201,0.0002072246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0529301,0.000173577,0.9231004,0.0005690628,0.00005335101,0.0003434695,0.0004019284,0.0135744,0.008853876],"genre_scores_gemma":[0.2748058,0.0002773396,0.7214757,0.0001091785,0.00002119538,0.0002793822,0.0005432224,0.0004451658,0.002043123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003269071,"threshold_uncertainty_score":0.01093614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915021266075339,"score_gpt":0.2920165015688231,"score_spread":0.2728662889080697,"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."}}