{"id":"W2768772012","doi":"10.1007/978-3-319-66505-4_4","title":"k-Zero Day Safety: Evaluating the Resilience of Networks Against Unknown Attacks","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer security; Metric (unit); Resilience (materials science); Computer science; Zero (linguistics); Network security; Rank (graph theory); Security through obscurity; Value (mathematics); Security information and event management; Mathematics; Engineering; Cloud computing security","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":[0.00132159,0.001451182,0.0006911353,0.001204622,0.0004483915,0.001466828,0.001688284,0.001430171,0.004051682],"category_scores_gemma":[0.008405272,0.0002809729,0.0005964792,0.0006988332,0.001370192,0.002942913,0.001680016,0.001008675,0.000874659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061155,"about_ca_system_score_gemma":0.0006699692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002978571,"about_ca_topic_score_gemma":0.002657961,"domain_scores_codex":[0.9990897,0.0002812642,0.00003592985,0.0001835778,0.0002990534,0.000110443],"domain_scores_gemma":[0.99648,0.002264337,0.0002845678,0.0003800356,0.0003832147,0.0002077779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001017828,0.0001734458,0.00821198,0.0004757032,0.0002467528,0.000143557,0.0002073828,0.7631328,0.004560134,0.02082252,0.01038264,0.1906253],"study_design_scores_gemma":[0.00002767969,0.0004792925,0.003002252,0.00006161546,0.00007442627,0.0001449314,0.0002164093,0.9425409,0.005091026,0.04594231,0.002376762,0.0000422705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4916769,0.005305306,0.4550096,0.001451899,0.000864359,0.0002984245,0.002324438,0.003377789,0.03969122],"genre_scores_gemma":[0.9517169,0.0008707608,0.04028387,0.00008452071,0.0001107557,0.00007357467,0.001242754,0.0002246454,0.005392256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004051682,"threshold_uncertainty_score":0.01355422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03254683029932205,"score_gpt":0.2950589493423532,"score_spread":0.2625121190430311,"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."}}