{"id":"W4391023775","doi":"10.1038/s41598-024-51941-8","title":"Stabilized quantum-enhanced SIEM architecture and speed-up through Hoeffding tree algorithms enable quantum cybersecurity analytics in botnet detection","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Botnet; Quantum computer; Algorithm; Quantum; Quantum algorithm; Analytics; Speedup; Computer engineering; Theoretical computer science; Data mining; Operating system; Physics","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":[0.0009403232,0.0004681227,0.0006739618,0.0006487361,0.0006815013,0.0009249332,0.00161222,0.000994983,0.003828668],"category_scores_gemma":[0.004759731,0.0002962134,0.0004238066,0.0006532497,0.000948544,0.002264713,0.0008636831,0.001686237,0.0009468186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110265,"about_ca_system_score_gemma":0.001545899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003127691,"about_ca_topic_score_gemma":0.005751105,"domain_scores_codex":[0.9993904,0.0001543054,0.00002805339,0.0001311682,0.0002191939,0.00007692567],"domain_scores_gemma":[0.9986374,0.0006072782,0.00009291967,0.0003061302,0.0002765756,0.00007968241],"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":[0.00035153,0.0003096246,0.005580075,0.0002185187,0.0001126409,0.0001107565,0.0002359838,0.6763586,0.02109491,0.06549068,0.008007458,0.2221293],"study_design_scores_gemma":[0.000009995653,0.00003089532,0.0001369568,0.000003735235,0.000004610069,0.00001199885,0.00000689273,0.9892303,0.00351457,0.006371255,0.0006716803,0.000006941473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1272669,0.0004365671,0.856916,0.0008484283,0.0001693147,0.0001251588,0.0002429525,0.00650557,0.007489261],"genre_scores_gemma":[0.7004988,0.0001086169,0.2964807,0.0002594626,0.00003345506,0.0001188889,0.0002524477,0.0002538096,0.001993803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003828668,"threshold_uncertainty_score":0.0128082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472186863809793,"score_gpt":0.2565406432205491,"score_spread":0.2418187745824512,"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."}}