{"id":"W2007338615","doi":"10.4018/jsse.2010070102","title":"Monitoring Buffer Overflow Attacks","year":2010,"lang":"en","type":"article","venue":"International Journal of Secure Software Engineering","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Buffer overflow; Computer science; Computer security; Set (abstract data type); Code (set theory); Task (project management); Computer network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001858042,0.001424085,0.001080542,0.003984285,0.0007116826,0.001914377,0.001685016,0.001006593,0.001244053],"category_scores_gemma":[0.0150471,0.0004374822,0.0005529335,0.001839359,0.0005541399,0.003250243,0.00152168,0.00123811,0.0006658905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007763507,"about_ca_system_score_gemma":0.001268977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195192,"about_ca_topic_score_gemma":0.001117391,"domain_scores_codex":[0.9954491,0.0007218632,0.0003615338,0.0008183043,0.002299444,0.000349768],"domain_scores_gemma":[0.9810089,0.006091861,0.005394658,0.002996278,0.003933853,0.0005744394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001443818,0.0005201967,0.07954179,0.001618207,0.0003182192,0.0006874059,0.001288307,0.02607845,0.07560961,0.008711257,0.01237668,0.791806],"study_design_scores_gemma":[0.0001415515,0.001673712,0.08333566,0.0008709395,0.0008905072,0.00482975,0.0008300013,0.4893495,0.3474717,0.01533252,0.05488038,0.0003937379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3752253,0.007441679,0.5587776,0.001077213,0.0003483463,0.000960224,0.001849722,0.03477288,0.01954695],"genre_scores_gemma":[0.8932552,0.001923927,0.09910832,0.0002510814,0.0001115991,0.0002053559,0.00126044,0.0005358186,0.003348344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003984285,"threshold_uncertainty_score":0.009826362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007770653178154565,"score_gpt":0.2504326166414459,"score_spread":0.2426619634632913,"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."}}