{"id":"W3003551558","doi":"10.1109/icocsec47621.2019.8970906","title":"Using Attack Pattern for Cyber Attack Attribution","year":2019,"lang":"en","type":"article","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal","funders":"","keywords":"Computer science; Computer security; Attack model; Relevance (law); Cyber-attack; Attack patterns; Confidentiality; Node (physics); Intrusion detection system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002717449,0.0001029699,0.0001178549,0.00005042417,0.00008893585,0.00009655995,0.0003975645,0.00005219023,0.0000993081],"category_scores_gemma":[0.00000530807,0.00008738902,0.00009468828,0.0001776719,0.0000164498,0.0004522315,0.000117501,0.00005674199,0.0003271664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002566087,"about_ca_system_score_gemma":0.0000185322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000671618,"about_ca_topic_score_gemma":0.000001920436,"domain_scores_codex":[0.9991352,0.00003328977,0.0001391291,0.0003024912,0.0001216415,0.0002682367],"domain_scores_gemma":[0.999371,0.00006526474,0.00004885898,0.0003872688,0.00007279085,0.00005483165],"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":[0.00003737443,0.0003870942,0.04130137,0.0001873343,0.0001543692,0.00001426972,0.001177737,0.006412492,0.01513258,0.6083676,0.007679532,0.3191483],"study_design_scores_gemma":[0.0008660639,0.0001317155,0.003512437,0.00003004235,0.000008930407,0.00001942098,0.00002690738,0.9605764,0.006432201,0.006367482,0.02165078,0.0003776194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2065591,0.00001251853,0.7915661,0.0002090745,0.0005356648,0.0002101078,0.000004555872,0.00008919989,0.0008136294],"genre_scores_gemma":[0.9618487,8.823191e-7,0.03569528,0.0006139252,0.00008619225,0.000007348058,0.000006421687,0.000008496707,0.001732743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9541639,"threshold_uncertainty_score":0.4205172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06786290029194066,"score_gpt":0.3136885155245003,"score_spread":0.2458256152325597,"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."}}