{"id":"W3107341829","doi":"10.23919/cnsm50824.2020.9269055","title":"Temporal Representations for Detecting BGP Blackjack Attacks","year":2020,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Timestamp; Computer science; Network packet; Denial-of-service attack; Context (archaeology); Naive Bayes classifier; Decision tree; Machine learning; Data mining; Artificial intelligence; Computer network; The Internet; Support vector machine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001285552,0.0006173963,0.0004583502,0.00169379,0.0003306482,0.0009815631,0.0005874487,0.0006402694,0.0009530667],"category_scores_gemma":[0.006007529,0.000158758,0.0005026389,0.001229092,0.0002123726,0.001752422,0.0004870709,0.0009657426,0.0003142662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009595051,"about_ca_system_score_gemma":0.001039589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007426689,"about_ca_topic_score_gemma":0.00727325,"domain_scores_codex":[0.9992222,0.0002237561,0.0000823883,0.0001499173,0.0002089413,0.0001127631],"domain_scores_gemma":[0.9976507,0.001151865,0.0003924292,0.0002095942,0.0004947957,0.000100673],"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":[0.001221518,0.001011007,0.04704207,0.0002520757,0.0001978418,0.0001738122,0.0002465096,0.321869,0.01008445,0.007819008,0.007159558,0.6029232],"study_design_scores_gemma":[0.000009769747,0.0000659425,0.002367426,0.00001347476,0.00002525963,0.00003560114,0.00004831238,0.9922829,0.00169172,0.002987755,0.0004637447,0.000008114992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5798511,0.0009109231,0.4091201,0.0007361714,0.0001619356,0.0002057123,0.002749479,0.00244115,0.003823451],"genre_scores_gemma":[0.9372395,0.0001627824,0.05998987,0.00006268901,0.00003299848,0.0000567623,0.001855754,0.00002767622,0.0005720507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007426689,"threshold_uncertainty_score":0.01476693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04760098690607825,"score_gpt":0.2935126066358478,"score_spread":0.2459116197297696,"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."}}