{"id":"W4220892559","doi":"10.35957/jatisi.v9i1.1473","title":"DETEKSI SERANGAN DDoS MENGGUNAKAN Q-LEARNING","year":2022,"lang":"id","type":"article","venue":"JATISI (Jurnal Teknik Informatika dan Sistem Informasi)","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Denial-of-service attack; Operating system; The Internet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00312441,0.001164712,0.001319593,0.0009290777,0.0008955269,0.002127529,0.001400085,0.001302192,0.005834885],"category_scores_gemma":[0.009748613,0.0004282821,0.0007860025,0.0009344657,0.0008751095,0.002592397,0.001302063,0.002040368,0.001507991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648107,"about_ca_system_score_gemma":0.002232914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007425845,"about_ca_topic_score_gemma":0.006070371,"domain_scores_codex":[0.9978291,0.0005363583,0.0001676938,0.0006088689,0.0005959216,0.0002619774],"domain_scores_gemma":[0.9954609,0.002106034,0.0003241794,0.0006363549,0.001248787,0.0002236675],"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":[0.001321407,0.0008982772,0.018993,0.0006699371,0.0002548959,0.0002574197,0.0003128657,0.365523,0.01209865,0.01512767,0.02007,0.5644728],"study_design_scores_gemma":[0.00008489241,0.0002752382,0.002727908,0.00004878533,0.00006608503,0.000146678,0.00008898805,0.9630276,0.006678523,0.01696977,0.009849248,0.00003630705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1608975,0.005106907,0.7972516,0.00414454,0.0009214318,0.000656103,0.001856343,0.007084537,0.0220811],"genre_scores_gemma":[0.8854975,0.00179005,0.0965642,0.0008710165,0.000218189,0.0004105626,0.001690113,0.0002112541,0.01274716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007425845,"threshold_uncertainty_score":0.01951963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009728035784224692,"score_gpt":0.2052749926593998,"score_spread":0.1955469568751751,"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."}}