{"id":"W7092299367","doi":"10.1007/978-3-032-02831-0_38","title":"AI-Enhanced Honeypots for Cyber Threat Mitigation and Counteracting Hackers in Automation Deception","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Hacker; Honeypot; Deception; Adversarial system; Threat model; Automation; Cyber-attack; Adversary","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":[0.000312906,0.000417947,0.000318332,0.0003500142,0.0003775391,0.001009183,0.0006895843,0.0008279202,0.005083504],"category_scores_gemma":[0.0008254675,0.0001667766,0.0002586663,0.0002618221,0.0004696722,0.001779425,0.0008090718,0.00120507,0.000992746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001969667,"about_ca_system_score_gemma":0.0001631013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001261979,"about_ca_topic_score_gemma":0.0002488102,"domain_scores_codex":[0.9997758,0.00004728536,0.00001324865,0.00004301955,0.00008674024,0.00003383802],"domain_scores_gemma":[0.9995425,0.0002241621,0.00004393662,0.00007572289,0.00007776073,0.00003589171],"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":[0.0005354135,0.0005219469,0.001130939,0.0006750411,0.0001213262,0.0005974206,0.0004239845,0.06212437,0.1496346,0.1054141,0.01892055,0.6599003],"study_design_scores_gemma":[0.00007651821,0.00108233,0.003971746,0.000128097,0.0001152675,0.00148981,0.0002788234,0.7352681,0.07411765,0.1082925,0.07510496,0.00007414532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1634697,0.009545972,0.6888216,0.002505647,0.002473627,0.0003106679,0.0002043559,0.003896467,0.1287721],"genre_scores_gemma":[0.8704845,0.00160345,0.09169202,0.0004123495,0.0002992292,0.00009959046,0.0001363376,0.00009268414,0.03517972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005083504,"threshold_uncertainty_score":0.01700598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009006831522573446,"score_gpt":0.2387902495499775,"score_spread":0.229783418027404,"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."}}