{"id":"W4232734504","doi":"10.4018/978-1-4666-7456-1.ch034","title":"A Hybrid Technique Using PCA and Wavelets in Network Traffic Anomaly Detection","year":2015,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Solana Networks (Canada); Carleton University","funders":"","keywords":"Anomaly detection; Wavelet; Principal component analysis; Haar wavelet; Computer science; Data mining; Pattern recognition (psychology); Cluster analysis; Haar; Artificial intelligence; Anomaly (physics); Wavelet transform; Discrete wavelet transform","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":[0.000896434,0.0009223766,0.0007093556,0.003128415,0.0003135498,0.001414897,0.0007710959,0.0009459138,0.00166891],"category_scores_gemma":[0.001426931,0.0003846604,0.0009860017,0.005390649,0.0003906,0.001608102,0.0008443507,0.001051742,0.001661796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002822313,"about_ca_system_score_gemma":0.0003937109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131673,"about_ca_topic_score_gemma":0.001033989,"domain_scores_codex":[0.9991348,0.0001646453,0.00004264832,0.0001888422,0.0004202056,0.00004889221],"domain_scores_gemma":[0.9993456,0.0002481964,0.0000473543,0.00009903021,0.0002352852,0.00002453471],"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":[0.00007797336,0.00008866561,0.00115791,0.0002276929,0.0000992967,0.0001684228,0.0001184247,0.0178876,0.02611986,0.00925472,0.006869324,0.9379302],"study_design_scores_gemma":[0.0000194034,0.0002156152,0.004646312,0.00008567823,0.0001554522,0.001267062,0.0001464318,0.8936307,0.03440544,0.01807262,0.04725238,0.0001028904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009392534,0.002209214,0.9843898,0.0001726192,0.0001324251,0.00003619196,0.0001094548,0.0009911949,0.002566448],"genre_scores_gemma":[0.1188788,0.005132735,0.8663579,0.0001631396,0.0002843431,0.00008461344,0.0006747023,0.0002507781,0.008172982],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003128415,"threshold_uncertainty_score":0.005583048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268947713447294,"score_gpt":0.2361119486205156,"score_spread":0.2134224714860426,"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."}}