{"id":"W4389192167","doi":"10.22215/etd/2023-15684","title":"A Scalable Approach to Improve Security and Resilience of Smart City IoT Architectures","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Resilience (materials science); Scalability; Internet of Things; Smart city; Cloud computing; Computer security; Computer science; Service (business); Business","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":[0.001298544,0.0006429915,0.0003290608,0.0006698556,0.00114161,0.002609826,0.001002864,0.0007932841,0.004569563],"category_scores_gemma":[0.003072602,0.0003145393,0.0006763571,0.0006176729,0.001373706,0.005009766,0.002748708,0.002255938,0.000721206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002042603,"about_ca_system_score_gemma":0.002672456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001501901,"about_ca_topic_score_gemma":0.002310481,"domain_scores_codex":[0.9993889,0.0001493753,0.00003411783,0.00008580012,0.0002255913,0.000116163],"domain_scores_gemma":[0.9989705,0.000283475,0.00008695243,0.0002974279,0.0002558513,0.0001058153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003533442,0.0001027952,0.0008800258,0.000177413,0.00003651252,0.0001436783,0.0005496694,0.1275538,0.01070503,0.7834741,0.007667399,0.06867421],"study_design_scores_gemma":[0.00002015601,0.0001067153,0.0005582926,0.0001829994,0.000053582,0.0001433158,0.0006617302,0.5354074,0.008969962,0.395233,0.05862949,0.00003332489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05698389,0.001749262,0.8525067,0.009706209,0.0004211864,0.0002954491,0.0001580379,0.001325137,0.07685404],"genre_scores_gemma":[0.7186008,0.002497985,0.2647525,0.0006476677,0.0002133015,0.0002962039,0.0001849938,0.0002754951,0.01253105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004569563,"threshold_uncertainty_score":0.01528668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190840671336161,"score_gpt":0.2525181958762502,"score_spread":0.2406097891628886,"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."}}