{"id":"W2148324316","doi":"10.1109/pst.2008.25","title":"Mimicry Attacks Demystified: What Can Attackers Do to Evade Detection?","year":2008,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute for Materials Science; Mitacs; Killam Trusts; Dalhousie University","keywords":"Exploit; Preamble; Computer science; Computer security; Mimicry; Buffer overflow; Detector; Focus (optics); Anomaly detection; Channel (broadcasting); Computer network; Telecommunications; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002021742,0.0001805182,0.0001659652,0.0001980904,0.0004981511,0.0003185841,0.0006347475,0.0001206118,0.0001486433],"category_scores_gemma":[0.00002972126,0.0001708896,0.000091195,0.0008364489,0.00004998592,0.001129905,0.000255058,0.0002240149,0.0004584972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107638,"about_ca_system_score_gemma":0.00005546159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001371483,"about_ca_topic_score_gemma":0.0004279396,"domain_scores_codex":[0.9983609,0.00007736674,0.0002632438,0.0005523278,0.0003474257,0.0003987684],"domain_scores_gemma":[0.998899,0.00006735044,0.00005784541,0.000603948,0.000104664,0.0002671256],"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":[0.0001405468,0.0003011485,0.001045712,0.00003739206,0.0001114691,0.0001719134,0.01158372,0.004811102,0.02414138,0.009150598,0.08765659,0.8608484],"study_design_scores_gemma":[0.001754328,0.001397502,0.01284053,0.0002149658,0.00003230913,0.001827087,0.00109215,0.09419286,0.3222914,0.004202158,0.5576646,0.00249007],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5356061,0.0003351093,0.4521184,0.003604692,0.0035633,0.0004173734,0.000001054916,0.0007413757,0.003612493],"genre_scores_gemma":[0.9870126,0.0002629031,0.007584,0.00377775,0.0002733398,0.00002749543,8.762439e-7,0.00001313996,0.001047942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8583584,"threshold_uncertainty_score":0.6968676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114054005852194,"score_gpt":0.2447445872385582,"score_spread":0.2236040471800363,"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."}}