{"id":"W2077108401","doi":"10.5539/ass.v6n12p50","title":"Honeypot Protection Detection Response Recovery Model for Information Security Management Policy","year":2010,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Information and Cyber Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Honeypot; Information security; Computer security; Information security management; Computer science; Security management; Process (computing); Incident management; Business; Standard of Good Practice; Security information and event management; Function (biology); Security policy; Scheme (mathematics); Process management; Knowledge management; Network security policy; Cloud computing security; Security service","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001742944,0.0001022313,0.00008126181,0.0004111239,0.001170182,0.000541696,0.0006981841,0.00009214904,0.000002048894],"category_scores_gemma":[0.0001924091,0.0001063822,0.00006602175,0.0013611,0.0001582927,0.005710789,0.000172604,0.0001922069,0.00004425202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002040357,"about_ca_system_score_gemma":0.0002903958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003281419,"about_ca_topic_score_gemma":0.00003849051,"domain_scores_codex":[0.9986942,0.00003298701,0.0002400196,0.0002056667,0.0004821554,0.0003449167],"domain_scores_gemma":[0.9992207,0.00001259295,0.0001640943,0.0002661721,0.0002409185,0.00009547533],"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":[0.00007302121,0.00001801692,5.154296e-7,0.0000142255,0.000002274217,1.09871e-7,0.01031382,0.00001133415,0.002408614,0.361135,0.00009733985,0.6259257],"study_design_scores_gemma":[0.001240711,0.0002166854,0.01459819,0.00001325016,0.000008911154,0.00001899864,0.001383635,0.7535889,0.01765108,0.1799607,0.03064986,0.0006690937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01019007,3.830278e-7,0.9109263,0.002881155,0.0006861784,0.0007099208,0.000007310281,0.0002150621,0.07438365],"genre_scores_gemma":[0.9909666,9.964649e-7,0.008109444,0.000599403,0.0001057901,0.000124996,0.000001621433,0.000002827798,0.00008827386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9807766,"threshold_uncertainty_score":0.9000216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009251171495243694,"score_gpt":0.2524841788068278,"score_spread":0.2432330073115841,"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."}}