{"id":"W4392193122","doi":"10.3991/ijoe.v20i03.45249","title":"Web Attack Intrusion Detection System Using Machine Learning Techniques","year":2024,"lang":"en","type":"article","venue":"International Journal of Online and Biomedical Engineering (iJOE)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Intrusion detection system; Web application; Intrusion prevention system; Intrusion; Computer security; Machine learning; Artificial intelligence; World Wide Web; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004556976,0.0001172392,0.0001532206,0.0005514482,0.00005267004,0.0002049528,0.0003273302,0.0001051804,0.000009080803],"category_scores_gemma":[0.00007796531,0.00009281732,0.00008637413,0.0003198174,0.00002601667,0.0004611011,0.00016594,0.000514517,0.000002073338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001423625,"about_ca_system_score_gemma":0.00006661998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001672775,"about_ca_topic_score_gemma":0.000003239944,"domain_scores_codex":[0.998759,0.00003079583,0.000421479,0.0001557564,0.0005061253,0.0001268757],"domain_scores_gemma":[0.9994743,0.00007655325,0.0001115457,0.00006201921,0.0001641683,0.0001113909],"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":[0.0000517002,0.0001184684,0.00005154372,0.0002046454,0.0002421634,0.0007165695,0.0002648805,0.002399306,0.3443114,0.001370988,0.0001252423,0.650143],"study_design_scores_gemma":[0.0001542386,0.0001864833,0.00003761425,0.0006700492,0.00001250502,0.002196564,0.00001203808,0.9062005,0.007164655,0.0000290347,0.08324083,0.0000954781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2809306,0.001345808,0.7128012,0.0009301462,0.003685699,0.00004192482,0.000005364816,0.0002470483,0.0000121665],"genre_scores_gemma":[0.9652181,0.0005600421,0.03234579,0.00004286096,0.001800807,7.092535e-7,0.000004422943,0.00001178009,0.00001544314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9038012,"threshold_uncertainty_score":0.3784981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059835769028535,"score_gpt":0.2629142612965755,"score_spread":0.2523159036062901,"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."}}