{"id":"W2469580049","doi":"10.1109/noms.2016.7502964","title":"How to choose from different botnet detection systems?","year":2016,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Botnet; Payload (computing); Computer science; Network packet; Feature extraction; Computer security; Data mining; Artificial intelligence; Machine learning; The Internet; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008161414,0.0001082279,0.0001142632,0.00007740455,0.00009641025,0.0003246943,0.0003572309,0.00006502998,0.00004453796],"category_scores_gemma":[0.00002734179,0.00006244426,0.00004146557,0.0001571676,0.000009177887,0.0005033468,0.0001710249,0.00005461502,0.0002203175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007002216,"about_ca_system_score_gemma":0.000005655207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001775242,"about_ca_topic_score_gemma":0.0001821342,"domain_scores_codex":[0.9990526,0.00006839273,0.0001233515,0.0003443445,0.0002140166,0.0001973105],"domain_scores_gemma":[0.99926,0.00007417645,0.00004415637,0.0004406889,0.00004260697,0.0001383671],"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":[0.00002159398,0.00004241439,0.0001193909,0.000004319256,0.00001768229,0.000003364342,0.0001582379,0.00001462044,0.08806216,0.01048792,0.004656516,0.8964118],"study_design_scores_gemma":[0.001562603,0.0008677239,0.02730529,0.0002420164,0.00001704561,0.00003183736,0.00009396703,0.08338184,0.52125,0.01201011,0.3521606,0.001076932],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2241707,0.00004291758,0.7711179,0.002332695,0.001644162,0.0001339422,0.000001781745,0.0002554975,0.0003004591],"genre_scores_gemma":[0.9955534,0.00001972677,0.000853355,0.000221134,0.0003825068,0.00002700643,3.160996e-7,0.000005474966,0.002937126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8953348,"threshold_uncertainty_score":0.3131035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120763015703759,"score_gpt":0.198020023844279,"score_spread":0.1868123936872414,"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."}}