{"id":"W2996365626","doi":"10.1109/iemcon.2019.8936142","title":"Simulating Attacks for RPL and Generating Multi-class Dataset for Supervised Machine Learning","year":2019,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Network packet; Machine learning; Routing protocol; Artificial intelligence; Lossy compression; Classifier (UML); Network security; Cyber-physical system; Computer network","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":[0.0003987164,0.000107122,0.0001353929,0.00004489444,0.0003202702,0.0001933305,0.0002008044,0.00005796971,0.00002780637],"category_scores_gemma":[0.00009308684,0.00009566762,0.00003850635,0.00009083869,0.00000975016,0.0004392679,0.0001817074,0.0001079373,0.000007939456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001220378,"about_ca_system_score_gemma":0.00001130743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003633716,"about_ca_topic_score_gemma":0.00007503026,"domain_scores_codex":[0.9991012,0.00003778933,0.0001903951,0.000358322,0.00008696656,0.0002253536],"domain_scores_gemma":[0.9992697,0.0003455556,0.0000647407,0.0002134511,0.00005310762,0.00005342195],"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":[0.0001621207,0.0001954821,0.006372095,0.0005533229,0.0001023029,0.000002307998,0.002329319,0.2906395,0.07969823,0.01594516,0.007535471,0.5964647],"study_design_scores_gemma":[0.001070212,0.0001785056,0.00002605678,0.00001206456,0.000003539148,0.000002572655,0.00002178779,0.9597511,0.001838668,0.00008288319,0.03687639,0.0001362664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1364054,0.00008099891,0.8623185,0.0001881978,0.000267513,0.0005351248,0.00006723878,0.00009387011,0.00004313244],"genre_scores_gemma":[0.6529296,0.00001046435,0.3451413,0.0007276605,0.0001799585,0.00003704496,0.0004337379,0.0000161241,0.0005241262],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6691115,"threshold_uncertainty_score":0.3901212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207215907848233,"score_gpt":0.2817194261931042,"score_spread":0.2496472671146219,"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."}}