{"id":"W2791811651","doi":"10.1002/spy2.16","title":"DADI: Defending against distributed denial of service in information‐centric networking routing and caching","year":2018,"lang":"en","type":"article","venue":"Security and Privacy","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Denial-of-service attack; Computer science; Computer network; Cache; The Internet; Routing (electronic design automation); Routing protocol; Computer security; Application layer DDoS attack; 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":[0.001874709,0.0008063437,0.0009506095,0.001373984,0.001153999,0.001879862,0.002246918,0.001121633,0.0007854638],"category_scores_gemma":[0.004145488,0.0003025802,0.0004156737,0.0008260231,0.0007458765,0.001713804,0.001730931,0.0009736486,0.0003159955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376117,"about_ca_system_score_gemma":0.002004876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003014879,"about_ca_topic_score_gemma":0.002782848,"domain_scores_codex":[0.9984565,0.0003191472,0.0001306238,0.0002125513,0.0006445009,0.0002367188],"domain_scores_gemma":[0.9969874,0.0006594913,0.0004103798,0.001047121,0.0006299138,0.0002657527],"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":[0.001762033,0.001328019,0.02671768,0.0007708282,0.0005143405,0.0005361281,0.0005832589,0.1576546,0.1408879,0.0551297,0.02510606,0.5890095],"study_design_scores_gemma":[0.0001599944,0.0006612505,0.004344006,0.00005790017,0.0001861608,0.0006587724,0.0001979137,0.8653239,0.09114362,0.009751734,0.02741061,0.0001042059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2201169,0.004925958,0.7368953,0.001487847,0.0005095231,0.0006980081,0.0003860175,0.01849033,0.01649013],"genre_scores_gemma":[0.850845,0.0007511168,0.1432236,0.0003739394,0.00008562538,0.0001723797,0.0004556616,0.0001217808,0.003971056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003014879,"threshold_uncertainty_score":0.009984493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274362427304813,"score_gpt":0.2218341155108205,"score_spread":0.2090904912377723,"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."}}