{"id":"W2971648973","doi":"10.1145/3337772","title":"A Game-theoretic Taxonomy and Survey of Defensive Deception for Cybersecurity and Privacy","year":2019,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Information and Cyber Security","field":"Computer Science","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Laboratory; Division of Emerging Frontiers in Research and Innovation; York University; U.S. Department of Energy; National Science Foundation","keywords":"Deception; Computer science; Computer security; Taxonomy (biology); Private information retrieval; Honeypot; Internet privacy; Data science; Psychology; Social psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005969717,0.0003937377,0.001375147,0.0002236584,0.00011603,0.0001939645,0.00108757,0.000261068,0.000002484529],"category_scores_gemma":[0.00138402,0.0003588765,0.0001884372,0.0004139693,0.0001451281,0.0002979084,0.001315872,0.000284756,0.00001385846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004831607,"about_ca_system_score_gemma":0.0002561395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002334603,"about_ca_topic_score_gemma":0.00005023651,"domain_scores_codex":[0.996303,0.001692755,0.0008595699,0.0005781645,0.0002168355,0.000349634],"domain_scores_gemma":[0.9939873,0.003453898,0.0009347841,0.001052756,0.0004640395,0.0001071959],"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":[0.000002017814,0.00002174423,0.0005527207,0.00745556,0.00006315425,4.897196e-7,0.0008195025,0.000001275542,2.457201e-8,0.007356637,0.0001508987,0.983576],"study_design_scores_gemma":[0.002797518,0.0006421913,0.04763929,0.01455233,0.0005993064,0.000252995,0.0000875531,0.03466626,0.000006201191,0.005997791,0.8895168,0.003241768],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001544913,0.6855727,0.3097639,0.00001617075,0.0005781428,0.002151959,0.0001127998,0.0001029494,0.0001563957],"genre_scores_gemma":[0.03255471,0.9406434,0.0261038,0.00009185846,0.00007066445,0.00005333246,0.0004137479,0.0000457811,0.00002267685],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9803342,"threshold_uncertainty_score":0.9998863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065132746876336,"score_gpt":0.3306226550611066,"score_spread":0.2241093803734729,"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."}}