{"id":"W4396665538","doi":"10.5220/0012509400003711","title":"On Detecting Malicious Code Injection by Monitoring Multi-Level Container Activities","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Container (type theory); Computer science; Code (set theory); Computer security; Programming language; Engineering","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":[0.0003689973,0.001044095,0.0007319025,0.001804186,0.0003676264,0.0008966979,0.000841418,0.0008220071,0.0006911636],"category_scores_gemma":[0.001919441,0.0003248199,0.0004654384,0.0009114332,0.0004346262,0.001607229,0.0008800426,0.0007052409,0.0005230448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003597941,"about_ca_system_score_gemma":0.0005777081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003229338,"about_ca_topic_score_gemma":0.004714376,"domain_scores_codex":[0.9990722,0.0001044882,0.0000397948,0.0002241415,0.0004207008,0.0001386886],"domain_scores_gemma":[0.9978078,0.0007303964,0.0004320787,0.0004478173,0.0004767511,0.0001051229],"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":[0.0007501536,0.0004676744,0.0446552,0.0002805462,0.0001829121,0.0006020162,0.0002207726,0.0464581,0.3006675,0.002528699,0.00369711,0.5994894],"study_design_scores_gemma":[0.00001339218,0.0004054383,0.02201452,0.00003586396,0.00009570109,0.0007807399,0.00007911821,0.8893957,0.08310638,0.001849057,0.002179489,0.00004454845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4698291,0.001942783,0.515269,0.0003493162,0.0002324036,0.0001883087,0.0003496512,0.006439235,0.005400117],"genre_scores_gemma":[0.8792032,0.0005945007,0.1165989,0.0001357467,0.00007377433,0.00004856689,0.000364262,0.0001410129,0.002839998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003229338,"threshold_uncertainty_score":0.006421089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528122277496049,"score_gpt":0.3094304307002315,"score_spread":0.274149207925271,"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."}}