{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003238241,0.0001195428,0.0001285821,0.0002314834,0.0000435923,0.0002302376,0.001407866,0.00007986452,0.00002214853],"category_scores_gemma":[0.0005780712,0.000119534,0.0001153634,0.0001520658,0.00001257355,0.0007375446,0.00014963,0.0006192716,0.00000836106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005674145,"about_ca_system_score_gemma":0.00006386068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002240749,"about_ca_topic_score_gemma":3.404042e-7,"domain_scores_codex":[0.9987679,0.000009885358,0.0003721579,0.000141187,0.0005494016,0.0001594609],"domain_scores_gemma":[0.998715,0.0002233261,0.0002136415,0.0001966866,0.0005476997,0.000103666],"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":[0.0001081166,0.0007654863,0.2280818,0.0001821477,0.001820397,0.001455491,0.01538317,0.1093465,0.1941047,0.156718,0.004990419,0.2870436],"study_design_scores_gemma":[0.004493242,0.0003933545,0.2271037,0.001843833,0.00007187335,0.007533275,0.000217339,0.3081222,0.1646907,0.005209794,0.2778334,0.002487178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2742448,0.0001222662,0.7129219,0.0004233583,0.01212252,0.00002478877,0.000001181177,0.0001046005,0.00003461308],"genre_scores_gemma":[0.8131769,0.00001840927,0.1850407,0.00004148368,0.001701243,9.399146e-7,4.183074e-7,0.00001016003,0.000009835348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.538932,"threshold_uncertainty_score":0.4874453,"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."}}