{"id":"W2109671077","doi":"10.1109/compsac.2005.69","title":"Detecting intrusions specified in a software specification language","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Microsoft Research","keywords":"Computer science; Specification language; Intrusion detection system; Formal specification; Software requirements specification; Popularity; System requirements specification; Computer security; Software; Software security assurance; Language Of Temporal Ordering Specification; Programming language; Software engineering; Software development; Software design; Information security; Security service","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":[0.004552904,0.0009386315,0.00069651,0.00170779,0.0006776035,0.002820417,0.001261397,0.001320195,0.002004013],"category_scores_gemma":[0.01343019,0.0009184889,0.001640363,0.000936832,0.002184848,0.003171447,0.001311497,0.001739932,0.0008672002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543248,"about_ca_system_score_gemma":0.003533864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00342957,"about_ca_topic_score_gemma":0.002922945,"domain_scores_codex":[0.99552,0.001584435,0.0007478056,0.0005570676,0.001320408,0.0002703879],"domain_scores_gemma":[0.985456,0.009703518,0.001594331,0.001393059,0.001706111,0.000146848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006333894,0.0004500901,0.01229856,0.00135364,0.0001930453,0.002154734,0.006281341,0.1219722,0.1174419,0.527774,0.009245058,0.200202],"study_design_scores_gemma":[0.0001476522,0.000263343,0.0009172974,0.0002953995,0.0001214061,0.001240688,0.0006516706,0.7908849,0.08445805,0.07333291,0.04756979,0.0001169837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01296036,0.00002920704,0.9804305,0.0002245015,0.00001639623,0.0001202067,0.0001731934,0.005205329,0.0008402537],"genre_scores_gemma":[0.1134212,0.00009990942,0.8835394,0.0001673948,0.0000161399,0.0002261522,0.0007996654,0.000428097,0.001301985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004552904,"threshold_uncertainty_score":0.02407831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287224496590445,"score_gpt":0.266563274194662,"score_spread":0.2536910292287576,"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."}}