{"id":"W4395097906","doi":"10.1007/978-3-031-57537-2_18","title":"Automated Attacker Behaviour Classification Using Threat Intelligence Insights","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thales (Canada); Polytechnique Montréal","funders":"","keywords":"Honeypot; Computer science; Computer security; Sophistication; Leverage (statistics); Cyber threats; Process (computing); The Internet; Data science; Artificial intelligence; World Wide Web","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":[0.0004942295,0.001041186,0.0006416781,0.002954717,0.0003223234,0.001659541,0.0006189482,0.000634007,0.002020221],"category_scores_gemma":[0.002169469,0.0002430822,0.0006779443,0.001245706,0.0002218303,0.001326243,0.0007087542,0.0008736673,0.002252846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004115741,"about_ca_system_score_gemma":0.0003595858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201372,"about_ca_topic_score_gemma":0.0020672,"domain_scores_codex":[0.9994581,0.00009073486,0.00002446067,0.00009943289,0.0002443213,0.00008286343],"domain_scores_gemma":[0.9990742,0.000385651,0.000134601,0.0001117826,0.0002442614,0.00004947058],"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":[0.0002585292,0.0004939368,0.04551154,0.0002104909,0.0001390969,0.0004888688,0.0002726392,0.04586264,0.02331023,0.006307871,0.01393746,0.8632066],"study_design_scores_gemma":[0.00001018395,0.0001579271,0.0203387,0.00007330166,0.00008852076,0.0007567616,0.0002509932,0.951058,0.009851454,0.01122718,0.006151862,0.00003512379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3492071,0.002900762,0.6027407,0.001023979,0.0002650497,0.0004112245,0.002261045,0.005796016,0.03539411],"genre_scores_gemma":[0.8813005,0.0009529751,0.10509,0.0001174759,0.0001120026,0.000077132,0.002840764,0.0001315874,0.009377453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002954717,"threshold_uncertainty_score":0.006758273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04157745695110077,"score_gpt":0.2898681802866881,"score_spread":0.2482907233355873,"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."}}