{"id":"W4390229370","doi":"10.18280/ria.370627","title":"Intelligent Intrusion Detection System Snort and SVM","year":2023,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Intrusion detection system; Support vector machine; Computer science; Data mining; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001223967,0.0006270524,0.0008084467,0.001533497,0.0003473076,0.0009885973,0.0006297748,0.0006180872,0.002095538],"category_scores_gemma":[0.001830641,0.0002187208,0.0006251459,0.0005550391,0.0002119076,0.001387585,0.0004931869,0.0006785875,0.000689472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005030818,"about_ca_system_score_gemma":0.000514337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001313228,"about_ca_topic_score_gemma":0.001295933,"domain_scores_codex":[0.9991804,0.0001704663,0.00008580062,0.0001639102,0.0003193287,0.00008007671],"domain_scores_gemma":[0.9992441,0.0002273166,0.00005825737,0.00009638968,0.0003371397,0.00003681612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001463252,0.0008612873,0.01362561,0.0002357549,0.0003583225,0.000221752,0.0000866573,0.05199788,0.0234758,0.005216372,0.01421995,0.8882375],"study_design_scores_gemma":[0.00005691609,0.0004315715,0.00439153,0.00002018943,0.0001509213,0.0003265452,0.00003391411,0.9602409,0.02520245,0.002200686,0.006920548,0.00002371392],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3615523,0.004358228,0.5985837,0.001443677,0.001512086,0.0004711818,0.0007975028,0.01451288,0.01676842],"genre_scores_gemma":[0.833016,0.001091284,0.1523295,0.0003364073,0.0003751674,0.0001573314,0.00123611,0.0001374399,0.01132081],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002095538,"threshold_uncertainty_score":0.007010341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04419718124506615,"score_gpt":0.2611913909521497,"score_spread":0.2169942097070836,"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."}}