{"id":"W3001885965","doi":"10.1109/tii.2020.2968946","title":"Deep-Learning-Based Blockchain Framework for Secure Software-Defined Industrial Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Denial-of-service attack; Computer science; Software-defined networking; Single point of failure; Blockchain; Software; Controller (irrigation); Distributed computing; Emulation; Computer network; Forwarding plane; Computer security; Operating system; The Internet","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","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0005370439,0.0005371453,0.000622001,0.0002348325,0.0007045662,0.0004696691,0.001152899,0.001327381,0.00008086117],"category_scores_gemma":[0.0005032172,0.0005320973,0.0004194555,0.001648757,0.00009518455,0.0004068231,0.00001430502,0.002716379,0.00006063501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277729,"about_ca_system_score_gemma":0.0003519296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001237196,"about_ca_topic_score_gemma":0.000004496239,"domain_scores_codex":[0.9967572,0.000151582,0.001200665,0.0004218473,0.0006138136,0.000854882],"domain_scores_gemma":[0.9958353,0.002271464,0.0005209488,0.0006268134,0.000198943,0.0005465287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002958298,0.0000933693,0.00003164973,0.00002003253,0.0000837585,0.000002800227,0.0008214365,0.9059377,4.636236e-7,0.0008396446,0.003628331,0.08824497],"study_design_scores_gemma":[0.003902396,0.00125034,0.000001454347,0.0001322299,0.00008547569,0.000004653051,0.0001430598,0.9789116,0.0003564448,0.0004664439,0.0141416,0.0006043135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008579073,0.00002801672,0.9912872,0.002094458,0.003364443,0.001118591,0.000041813,0.001169847,0.00003768957],"genre_scores_gemma":[0.7320102,0.0000285219,0.2552402,0.008551241,0.003418185,0.0004732469,0.00005858914,0.0001388115,0.0000809542],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.736047,"threshold_uncertainty_score":0.9999691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04956345721309317,"score_gpt":0.2494229140632572,"score_spread":0.199859456850164,"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."}}