{"id":"W4237896236","doi":"10.32920/ryerson.14645529","title":"Enhancing broadcast authentication in sensor networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Authentication (law); Denial-of-service attack; Computer network; Authentication protocol; Computer security; Reliability (semiconductor); Wireless sensor network; Challenge-Handshake Authentication Protocol; Protocol (science)","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":[0.00101568,0.0004325016,0.0003818789,0.0005307384,0.0004889929,0.0007742307,0.0006091453,0.000660927,0.001046457],"category_scores_gemma":[0.003321751,0.000178678,0.0002829088,0.0004668525,0.0006285483,0.001800466,0.001238257,0.0006083912,0.000415376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004461203,"about_ca_system_score_gemma":0.0005449766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000541774,"about_ca_topic_score_gemma":0.0004710775,"domain_scores_codex":[0.9991671,0.0003001521,0.00006032092,0.0001025913,0.0002753547,0.00009453492],"domain_scores_gemma":[0.9985637,0.0005907943,0.0001729947,0.0003132762,0.0003123707,0.00004688643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001580326,0.0001969678,0.002727662,0.0007681035,0.00008216444,0.0007046538,0.0009008934,0.1611427,0.4199929,0.0896617,0.002447452,0.3197945],"study_design_scores_gemma":[0.00007513693,0.0007141757,0.0007874467,0.00004293161,0.00008954819,0.0006368727,0.0001597088,0.8276959,0.1400906,0.01878276,0.01087569,0.00004912501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0905465,0.001023446,0.9038115,0.0001851369,0.0001325671,0.0001250487,0.00002594599,0.0009035714,0.003246259],"genre_scores_gemma":[0.9129513,0.0007147772,0.08298567,0.00006205234,0.0000562055,0.0000732693,0.00004611642,0.00003174603,0.003078838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001046457,"threshold_uncertainty_score":0.005371511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508970180299677,"score_gpt":0.2499499589168758,"score_spread":0.234860257113879,"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."}}