{"id":"W4323646088","doi":"10.1109/fnwf55208.2022.00117","title":"SliceSecure: Impact and Detection of DoS/DDoS Attacks on 5G Network Slices","year":2022,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Regina","funders":"","keywords":"Denial-of-service attack; Computer science; Trinoo; Application layer DDoS attack; Computer network; Network security; Latency (audio); The Internet; Operating system; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0004516021,0.0001220231,0.0001533335,0.0001121123,0.0004245114,0.00007293097,0.0003624243,0.00004707958,0.000238817],"category_scores_gemma":[0.00001430635,0.0001058152,0.00007697936,0.0007386343,0.0000294121,0.0003176111,0.000268072,0.0002653294,0.000008145887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005334357,"about_ca_system_score_gemma":0.00002132468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001608641,"about_ca_topic_score_gemma":0.0000910139,"domain_scores_codex":[0.9987476,0.0001545167,0.0002113853,0.0003179005,0.0003333858,0.0002351764],"domain_scores_gemma":[0.9992498,0.0001135896,0.0001927483,0.000332546,0.00003581426,0.00007551973],"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":[0.000622378,0.0005454081,0.003292041,0.00007606724,0.0002086259,0.00002247864,0.00478418,0.08587307,0.02021751,0.05497394,0.01617911,0.8132052],"study_design_scores_gemma":[0.001582473,0.007724516,0.027452,0.00004709306,0.00003115257,0.0002055833,0.0003105932,0.823773,0.03051131,0.01533611,0.09214112,0.0008851081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525026,0.0004623895,0.04037962,0.0003473332,0.001137456,0.00027085,0.000003144737,0.0002160088,0.004680607],"genre_scores_gemma":[0.9987679,0.00006207028,0.0005140037,0.0003383822,0.0001668533,0.00002143717,0.000001123216,0.000006704062,0.0001215959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8123201,"threshold_uncertainty_score":0.431502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00975519284108956,"score_gpt":0.2441959423594307,"score_spread":0.2344407495183411,"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."}}