{"id":"W2088100162","doi":"10.5539/cis.v4n4p123","title":"Web Server Logs Preprocessing for Web Intrusion Detection","year":2011,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Web log analysis software; Web mining; Data pre-processing; Preprocessor; XML; Data mining; Intrusion; Intrusion detection system; Database; Web server; World Wide Web; Information retrieval; Web service; The Internet; Static web page; Artificial intelligence","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":[0.0007114774,0.000876618,0.0007308163,0.003539285,0.000574029,0.001430172,0.0006058126,0.0004647366,0.004811399],"category_scores_gemma":[0.00472491,0.0003782097,0.0005791876,0.002474542,0.000231004,0.001121963,0.0004073828,0.0008681556,0.003791578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003450423,"about_ca_system_score_gemma":0.0009535399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554086,"about_ca_topic_score_gemma":0.001701513,"domain_scores_codex":[0.9988695,0.0001584912,0.0001743402,0.000181727,0.0005190248,0.00009692292],"domain_scores_gemma":[0.9965893,0.001023499,0.000386183,0.0007888418,0.001106938,0.0001052635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008027745,0.00066417,0.01772704,0.0005344518,0.00007018199,0.0006920276,0.0003469039,0.005889301,0.1687057,0.00171151,0.01509288,0.7877631],"study_design_scores_gemma":[0.0001088108,0.0009763313,0.09637099,0.0002262698,0.0001833089,0.002750865,0.0008751306,0.2156833,0.5871395,0.005324809,0.09017175,0.0001888115],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2787399,0.001314989,0.6477556,0.001088157,0.0004743021,0.001500668,0.01228591,0.04625832,0.01058214],"genre_scores_gemma":[0.5427682,0.001063054,0.4253725,0.0002376892,0.0002166225,0.001017019,0.01955211,0.001511521,0.008261248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004811399,"threshold_uncertainty_score":0.01609576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020580609032858,"score_gpt":0.2318646956670642,"score_spread":0.2112840866342062,"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."}}