{"id":"W2208375356","doi":"10.1109/cnsm.2015.7367370","title":"Deterministic flow marking for IPv6 traceback (DFM6)","year":2015,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Cisco Systems","keywords":"IP traceback; Computer science; IPv6; Computer network; IPv4; Network packet; Computer security; Denial-of-service attack; Spoofing attack; Network security; The Internet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001432423,0.0006852983,0.000467001,0.001531758,0.0006046382,0.001008364,0.001325744,0.00100972,0.001967493],"category_scores_gemma":[0.003659337,0.0003313314,0.0006316013,0.0009684801,0.0008463145,0.001351176,0.001477133,0.001165039,0.0006343183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008463335,"about_ca_system_score_gemma":0.001028083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001434198,"about_ca_topic_score_gemma":0.0009421199,"domain_scores_codex":[0.9985049,0.0003669899,0.0001385464,0.000220164,0.0006378578,0.0001315008],"domain_scores_gemma":[0.9980901,0.000533898,0.0002388571,0.0007503868,0.0003286234,0.00005802529],"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":[0.0004247375,0.0001670653,0.002334537,0.0005576886,0.00006667199,0.0003797557,0.0003382146,0.06811436,0.05511848,0.130943,0.006585333,0.7349702],"study_design_scores_gemma":[0.0001106465,0.0005922149,0.002058906,0.0002124521,0.0001234677,0.002265959,0.0001266189,0.6213208,0.159989,0.09020386,0.1227969,0.0001991183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005796317,0.0005005591,0.9882126,0.0001034368,0.0001204426,0.0001603663,0.0001269952,0.002801757,0.002177395],"genre_scores_gemma":[0.2590768,0.0007568429,0.7358105,0.0001435999,0.00009993582,0.0002994195,0.000481874,0.0001912415,0.003139824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001967493,"threshold_uncertainty_score":0.007575452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04782775892952968,"score_gpt":0.2666430083517782,"score_spread":0.2188152494222485,"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."}}