{"id":"W4416751214","doi":"10.1109/nca67271.2025.00042","title":"RevealNet: Distributed Traffic Correlation for Attack Attribution on Programmable Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Correlation; Anonymity; Exploit; Correlation attack; Set (abstract data type); Computational complexity theory; Bandwidth (computing); Traffic analysis","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":[0.002124384,0.001228665,0.0009628049,0.0019359,0.0006653719,0.001675835,0.001826385,0.0006646661,0.002414658],"category_scores_gemma":[0.008785925,0.0004923248,0.0005380651,0.001421161,0.0007575412,0.00299517,0.002690543,0.001210716,0.0009113868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287882,"about_ca_system_score_gemma":0.001669556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003034838,"about_ca_topic_score_gemma":0.003626884,"domain_scores_codex":[0.9981108,0.0004251356,0.00008979025,0.0004910018,0.0007213147,0.0001619392],"domain_scores_gemma":[0.9962705,0.001102842,0.0006950927,0.001213116,0.0004376908,0.0002807095],"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":[0.001799303,0.0005868997,0.02553231,0.0003290821,0.000357169,0.0003930598,0.0005387441,0.3653049,0.03321359,0.02758295,0.02215615,0.5222059],"study_design_scores_gemma":[0.00003340649,0.00008814794,0.001296668,0.00001237451,0.00001205975,0.00007778137,0.00004316484,0.9827089,0.007701759,0.005689923,0.002314501,0.00002128482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0829127,0.0003451407,0.8485614,0.0001861438,0.0001379301,0.0002531438,0.0007673572,0.06402,0.002816174],"genre_scores_gemma":[0.7806906,0.0001751772,0.2149231,0.00009368606,0.00005428404,0.0001820706,0.001417563,0.0008904195,0.001573165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003034838,"threshold_uncertainty_score":0.01123494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550240226615024,"score_gpt":0.2825149579083268,"score_spread":0.2570125556421765,"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."}}