{"id":"W2150797223","doi":"10.1109/ares.2007.45","title":"AsmLSec: An Extension of Abstract State Machine Language for Attack Scenario Specification","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Programming language; Specification language; Compiler; Software security assurance; Formal specification; Syntax; Formal methods; Finite-state machine; Software engineering; Computer security; Security service; Information security; Artificial intelligence","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":[0.003266282,0.00117415,0.0006780528,0.001131253,0.0006107605,0.00222342,0.002042028,0.001672906,0.003461398],"category_scores_gemma":[0.005686263,0.0011032,0.001884145,0.0007972228,0.002248358,0.003608635,0.001703036,0.002912116,0.001527004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052829,"about_ca_system_score_gemma":0.00272764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002258261,"about_ca_topic_score_gemma":0.002906823,"domain_scores_codex":[0.9966979,0.001056353,0.0006553334,0.0003329453,0.0009962505,0.0002611763],"domain_scores_gemma":[0.9946437,0.002914235,0.0006220745,0.0009194322,0.0007813604,0.0001192858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006173234,0.0002968215,0.003462237,0.001584843,0.000149245,0.001493899,0.002162092,0.1043072,0.03317428,0.6786345,0.03055653,0.1435611],"study_design_scores_gemma":[0.0002178398,0.0003266523,0.0006968388,0.0003621864,0.0001116276,0.001110001,0.0001786015,0.5513819,0.03962653,0.1562886,0.2495332,0.0001660929],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00354071,0.0001015292,0.9810563,0.0002615516,0.00006365476,0.0001984063,0.0005872677,0.012363,0.001827648],"genre_scores_gemma":[0.1317692,0.0004180744,0.8553975,0.0008045227,0.0001379709,0.001354497,0.002940165,0.002675093,0.004502888],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003461398,"threshold_uncertainty_score":0.0172739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03290355953923618,"score_gpt":0.3410298587223086,"score_spread":0.3081262991830724,"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."}}