{"id":"W4387872676","doi":"10.1109/icc45041.2023.10278632","title":"Warping the Defence Timeline: Non-Disruptive Proactive Attack Mitigation for Kubernetes Clusters","year":2023,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"","keywords":"Damages; Computer security; Computer science; Denial-of-service attack; Timeline; Risk analysis (engineering); De facto; Service (business); Internet privacy; Business; 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":[0.001001809,0.00098815,0.0004389501,0.0006581111,0.001006861,0.001320814,0.001854826,0.0007792944,0.001868816],"category_scores_gemma":[0.002282923,0.000311725,0.0003077387,0.0003606892,0.0008628881,0.001840276,0.002690557,0.0009931821,0.0005646642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009025743,"about_ca_system_score_gemma":0.001189787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003367251,"about_ca_topic_score_gemma":0.005258435,"domain_scores_codex":[0.9991417,0.0001807516,0.00006290783,0.0001754547,0.0002250134,0.0002141994],"domain_scores_gemma":[0.9986474,0.0002677401,0.0002165739,0.0004534559,0.0001902348,0.0002245825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002453784,0.0006947746,0.02245897,0.0006320917,0.0002459313,0.001276448,0.001665557,0.292194,0.188237,0.01941587,0.01992353,0.450802],"study_design_scores_gemma":[0.00008938502,0.0005385627,0.005801069,0.00004598637,0.0000972113,0.000410872,0.001098798,0.8863837,0.07760539,0.006609757,0.02118193,0.0001373148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3371854,0.0009086393,0.6004984,0.001773872,0.0004522427,0.0005266462,0.0002585602,0.04139398,0.01700224],"genre_scores_gemma":[0.9042445,0.00008483822,0.09169286,0.0001938613,0.00002523359,0.0000818172,0.0001568264,0.0002522265,0.003267827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003367251,"threshold_uncertainty_score":0.006695271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491300392767337,"score_gpt":0.2811415160855426,"score_spread":0.2562285121578692,"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."}}