{"id":"W2135578851","doi":"10.1109/aina.2014.73","title":"TDFA: Traceback-Based Defense against DDoS Flooding Attacks","year":2014,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute for Materials Science; Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Denial-of-service attack; Computer science; Network packet; Computer security; Computer network; Application layer DDoS attack; Spoofing attack; IP traceback; Flooding (psychology); Quality of service; 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":[0.0008337509,0.0006181684,0.0006768742,0.001569346,0.0006155842,0.0009540947,0.00139259,0.001016967,0.001383444],"category_scores_gemma":[0.002171915,0.0001701902,0.0004496471,0.0005163323,0.0004852342,0.001128964,0.0008471806,0.000729276,0.0005148569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006596863,"about_ca_system_score_gemma":0.0008478812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001618136,"about_ca_topic_score_gemma":0.001060243,"domain_scores_codex":[0.9993078,0.0001118631,0.00005484879,0.0001179666,0.0002771072,0.0001304774],"domain_scores_gemma":[0.9987047,0.0003379144,0.0002135608,0.0002805422,0.0003601197,0.000103127],"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":[0.001285345,0.0006872473,0.007560279,0.0004666285,0.0002130145,0.0005944904,0.0003143024,0.1002472,0.1888103,0.01520729,0.01011897,0.6744949],"study_design_scores_gemma":[0.0002248503,0.001294402,0.003644693,0.0000571454,0.0001246296,0.002173713,0.0001507949,0.8148348,0.1356394,0.0105078,0.03125412,0.00009358373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08713156,0.001604702,0.8892041,0.0005503417,0.0003345391,0.0004019721,0.0002217307,0.01550228,0.005048723],"genre_scores_gemma":[0.8609715,0.0006031338,0.1321926,0.0003306486,0.00009108207,0.0001582947,0.000340894,0.0001199046,0.005191965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001618136,"threshold_uncertainty_score":0.004786432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294625874828852,"score_gpt":0.222636979053924,"score_spread":0.2096907203056355,"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."}}