{"id":"W3196876685","doi":"10.1145/3415146","title":"Detecting Malicious Switches for a Secure Software-defined Tactile Internet","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Internet Technology","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Shenzhen Fundamental Research Program; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Computer network; The Internet; Denial-of-service attack; Software-defined networking; Computer security; Internet access; Distributed computing; 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":[0.000156906,0.0003519019,0.0004128732,0.0004865285,0.0001586688,0.000169339,0.001764748,0.0005057374,0.0001382567],"category_scores_gemma":[0.0004595896,0.0003610447,0.0002621764,0.001069986,0.00009755928,0.000253608,0.0001332851,0.0007186835,0.0001020916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001309814,"about_ca_system_score_gemma":0.0001018593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007836877,"about_ca_topic_score_gemma":0.0003643664,"domain_scores_codex":[0.9977152,0.00004040293,0.0004609139,0.0009479169,0.0001939127,0.0006416572],"domain_scores_gemma":[0.9973657,0.0006373669,0.0001551183,0.001512109,0.0002313247,0.00009839639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001399282,0.0006126618,0.0009266828,0.00009812686,0.0004945717,0.0001623911,0.001200281,0.0007956878,0.00243663,0.01943676,0.005542321,0.968154],"study_design_scores_gemma":[0.004300956,0.002945659,0.0002548887,0.0005982259,0.0002269343,0.002419429,0.0007589943,0.04327185,0.6549025,0.1395725,0.148592,0.002156063],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03413332,0.0003074614,0.9579593,0.003844257,0.00120107,0.0002941705,0.00001699952,0.002155458,0.00008798925],"genre_scores_gemma":[0.8166792,0.0000319178,0.1806655,0.0007432589,0.00005817638,0.0002596904,0.000007714995,0.00004975364,0.001504816],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9659979,"threshold_uncertainty_score":0.9998841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739912950897717,"score_gpt":0.2460411261128096,"score_spread":0.2286419966038324,"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."}}