{"id":"W4200169175","doi":"10.1016/j.comnet.2021.108666","title":"6Graph: A graph-theoretic approach to address pattern mining for Internet-wide IPv6 scanning","year":2021,"lang":"en","type":"article","venue":"Computer Networks","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Key Research and Development Program of China","keywords":"Computer science; IPv6; The Internet; Exploit; Cluster analysis; IPv6 address; Data mining; Graph; Hamming distance; Clustering coefficient; Address space; Theoretical computer science; Artificial intelligence; Computer network; Computer security; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004744698,0.0003133086,0.0003738159,0.0002189162,0.0002588179,0.0006211721,0.001124455,0.000179233,0.00001506505],"category_scores_gemma":[0.00002763914,0.0003271794,0.0002601163,0.001087206,0.00006066757,0.0003354102,0.0009482433,0.0003234172,0.00001108359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004326873,"about_ca_system_score_gemma":0.00003904904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001054574,"about_ca_topic_score_gemma":0.000013586,"domain_scores_codex":[0.9973871,0.0001840668,0.0004530265,0.0009998224,0.0002737159,0.0007023154],"domain_scores_gemma":[0.9982361,0.0003682135,0.0001388297,0.0007515649,0.0002326468,0.000272687],"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":[0.00004876558,0.0002647882,0.001310858,0.0001106643,0.0001580843,0.00005835456,0.003948259,0.1415175,0.00001597643,0.04258739,0.08255816,0.7274212],"study_design_scores_gemma":[0.0004712303,0.000180369,0.0005044815,0.0002368597,0.00001652749,0.00006954242,0.00002662596,0.982007,0.000225103,0.001819944,0.01401891,0.0004233904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007897673,0.0005779709,0.98657,0.0003377825,0.002886015,0.000409897,0.000001628619,0.0003203973,0.0009986489],"genre_scores_gemma":[0.8193258,0.00003466981,0.1740848,0.004828374,0.001358034,0.0001483921,0.00002875496,0.00004036209,0.0001507514],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8404895,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881201905651248,"score_gpt":0.2311219438891788,"score_spread":0.2123099248326664,"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."}}