{"id":"W3148780436","doi":"10.1109/icas49788.2021.9551155","title":"On Securing Cloud-Hosted Cyber-Physical Systems Using Trusted Execution Environments","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Testbed; Cloud computing; Computer science; Software deployment; Computer security; Guard (computer science); Cyber-physical system; Trusted Computing; Architecture; Cloud computing security; State (computer science); Access control; Software; Computer network; Operating system","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":[0.001849118,0.0007544157,0.0005821219,0.0006596363,0.001115004,0.002514623,0.001076584,0.0009913401,0.001974704],"category_scores_gemma":[0.005591219,0.0003541128,0.0003912303,0.0006456779,0.002630269,0.005169602,0.002603362,0.001997722,0.0005992171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008603652,"about_ca_system_score_gemma":0.001932258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00178988,"about_ca_topic_score_gemma":0.001594623,"domain_scores_codex":[0.9962388,0.001088353,0.0001480269,0.0004181124,0.001577688,0.00052897],"domain_scores_gemma":[0.9951994,0.001698191,0.0005849701,0.001794817,0.0005243653,0.0001982751],"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":[0.0009171945,0.0003062076,0.004054892,0.0007972328,0.00009205424,0.001036734,0.0009756216,0.2816229,0.06952344,0.335256,0.005653195,0.2997646],"study_design_scores_gemma":[0.0001099477,0.0004058784,0.001362947,0.0003176446,0.00005833642,0.0005937504,0.0003200141,0.837564,0.06930155,0.06550216,0.02439115,0.00007258236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1166256,0.00319116,0.8541579,0.00201822,0.0001720669,0.0002501196,0.00007012755,0.001885216,0.02162961],"genre_scores_gemma":[0.8703895,0.002451539,0.1235732,0.0002821681,0.0001103952,0.0001065371,0.00007899428,0.0001723767,0.002835255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002514623,"threshold_uncertainty_score":0.009779155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03904981662696248,"score_gpt":0.2765099248118164,"score_spread":0.2374601081848539,"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."}}