{"id":"W4285340454","doi":"10.1109/iccicc53683.2021.9811314","title":"Designing a Neural Network and a Genetic- Algorithm-Based Adaptive Wavelet for Internet Traffic Containing DDoS Attacks","year":2021,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Denial-of-service attack; Wavelet; Computer science; Genetic algorithm; Artificial neural network; Haar wavelet; Algorithm; The Internet; Artificial intelligence; Wavelet transform; Data mining; Machine learning; 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":[0.0003817704,0.0003271555,0.00027407,0.0004522096,0.0002136187,0.0003204409,0.0006430865,0.0006268985,0.0007642378],"category_scores_gemma":[0.000936508,0.0002193872,0.0003339559,0.0003112511,0.0002894607,0.0005039952,0.000275208,0.0004083334,0.0002169512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004027957,"about_ca_system_score_gemma":0.0005164672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338064,"about_ca_topic_score_gemma":0.001631633,"domain_scores_codex":[0.9998442,0.00002799204,0.000008801501,0.00003934055,0.00005804871,0.00002159032],"domain_scores_gemma":[0.999793,0.00006194346,0.00002632992,0.00001533282,0.00009467662,0.000008785544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001245823,0.000112948,0.002377692,0.0001210036,0.00006649142,0.0002085193,0.0001113076,0.6948547,0.06442797,0.009881315,0.0009696946,0.2267438],"study_design_scores_gemma":[0.00000553163,0.00004274221,0.0002425014,0.000004344904,0.00001033781,0.00003259166,0.000009134765,0.9921907,0.006341918,0.0005225478,0.0005934726,0.000004138802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04159201,0.0001220252,0.9553048,0.0001261377,0.00003855398,0.00006176245,0.00001684586,0.0003992514,0.002338628],"genre_scores_gemma":[0.5559914,0.0002698873,0.4402908,0.0000972244,0.00002799099,0.000161993,0.00005884177,0.00005169536,0.003050208],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002338064,"threshold_uncertainty_score":0.004648864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521265699056295,"score_gpt":0.2421055130422154,"score_spread":0.2168928560516524,"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."}}