{"id":"W2147610275","doi":"10.1109/glocom.2005.1577960","title":"Vulnerability analysis of IP traceback schemes","year":2005,"lang":"en","type":"article","venue":"GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Victoria","funders":"","keywords":"IP traceback; Computer science; Denial-of-service attack; Exploit; Vulnerability (computing); Computer network; Stateless protocol; Computer security; Network packet; Context (archaeology); Overhead (engineering); Probabilistic logic; The Internet; Buffer overflow; Vulnerability assessment","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008873515,0.0003546181,0.0006937186,0.0003719383,0.0005074611,0.0002480494,0.003476694,0.0002625558,0.0007147566],"category_scores_gemma":[0.0001050497,0.0003693017,0.0004426775,0.003604855,0.0003172581,0.001022275,0.0005259592,0.0004849986,0.0001802283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003370339,"about_ca_system_score_gemma":0.0003200393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004301986,"about_ca_topic_score_gemma":0.004694531,"domain_scores_codex":[0.9966038,0.0005183065,0.001072045,0.0006757974,0.0004983513,0.0006316745],"domain_scores_gemma":[0.9950509,0.0002181696,0.0004985888,0.003398464,0.0005691937,0.0002646769],"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":[0.00006922179,0.002450484,0.005435245,0.00004063328,0.00178692,0.000002967418,0.0007810305,0.01678619,0.0005730964,0.2346892,0.03482012,0.702565],"study_design_scores_gemma":[0.0008413163,0.00016102,0.02191002,0.00004606593,0.0004758594,0.00002809923,0.0000850519,0.6941031,0.002284388,0.0063597,0.2729056,0.0007997092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.341227,0.00231127,0.5764296,0.01470202,0.001198774,0.001132985,0.0003711456,0.001084098,0.06154314],"genre_scores_gemma":[0.9390137,0.0007753018,0.05933684,0.0004292639,0.00008117951,0.00004896581,0.00005925817,0.000008290417,0.0002472415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7017652,"threshold_uncertainty_score":0.9998759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071157412246555,"score_gpt":0.2957869377449852,"score_spread":0.2650753636225197,"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."}}