{"id":"W2130463662","doi":"10.1109/re.2008.32","title":"Selecting Security Patterns that Fulfill Security Requirements","year":2008,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer security model; Security service; Security information and event management; Security testing; Cloud computing security; Security through obscurity; Security engineering; Software security assurance; Computer security; Selection (genetic algorithm); Information security; Cloud computing; Artificial intelligence","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":[0.003995186,0.001616429,0.001103933,0.004183988,0.001046103,0.001886377,0.001168682,0.001235557,0.003254537],"category_scores_gemma":[0.01818977,0.0006127132,0.001369901,0.002558925,0.000748054,0.003261679,0.001730371,0.001148452,0.001306601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006092028,"about_ca_system_score_gemma":0.00197779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077697,"about_ca_topic_score_gemma":0.002172636,"domain_scores_codex":[0.9931769,0.001907121,0.000997755,0.0007710273,0.002567977,0.0005792108],"domain_scores_gemma":[0.988167,0.005001815,0.001423555,0.001738635,0.003124003,0.0005448831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001209736,0.001311463,0.07002813,0.002165709,0.0006242403,0.003462645,0.002084276,0.0277121,0.08819443,0.0481842,0.01408755,0.7409356],"study_design_scores_gemma":[0.0007657111,0.002997071,0.04284002,0.001633856,0.001396991,0.01273952,0.009118909,0.4073033,0.130383,0.2541606,0.1362834,0.0003775803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2821668,0.0008939379,0.6868795,0.002740287,0.0001485449,0.001795957,0.001526275,0.002868535,0.02098028],"genre_scores_gemma":[0.4434105,0.0007285003,0.546687,0.0005096712,0.0000649626,0.0007874067,0.003037269,0.0005040325,0.004270631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004183988,"threshold_uncertainty_score":0.02112877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03374151258665916,"score_gpt":0.2534274244132124,"score_spread":0.2196859118265533,"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."}}