{"id":"W3041392953","doi":"10.1007/s10207-020-00511-w","title":"A secure architecture for TCP/UDP-based cloud communications","year":2020,"lang":"en","type":"article","venue":"International Journal of Information Security","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Cloud computing; Computer network; Computer security; Datagram; Transport Layer Security; Encryption; Cloud computing security; Cryptographic protocol; Cryptography; Network packet; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002237903,0.0008821792,0.0008214168,0.001381951,0.00211521,0.00426422,0.002694287,0.001404163,0.00339727],"category_scores_gemma":[0.003080292,0.0008884519,0.000798897,0.0009000307,0.001350618,0.003354368,0.003455748,0.002991419,0.002297172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711332,"about_ca_system_score_gemma":0.003347832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00431809,"about_ca_topic_score_gemma":0.003279563,"domain_scores_codex":[0.9975204,0.0003906578,0.0002765433,0.0002115905,0.001095467,0.0005052611],"domain_scores_gemma":[0.9978125,0.0001819555,0.0001948941,0.0008361068,0.000680966,0.0002935649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002881582,0.0009696848,0.006722528,0.0007214874,0.0003613812,0.002773602,0.001602567,0.05810079,0.1410628,0.3587233,0.06162156,0.3644587],"study_design_scores_gemma":[0.0002447048,0.0007307964,0.001751086,0.0002024909,0.0003534204,0.001307353,0.0002270011,0.7223937,0.1274949,0.04916592,0.09586038,0.0002683197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04186922,0.0009116534,0.9220335,0.001057834,0.0007125054,0.0009404484,0.0001802415,0.02051937,0.01177516],"genre_scores_gemma":[0.7435471,0.0009247293,0.2341906,0.0005728006,0.0003133177,0.0005054331,0.0005400762,0.001561011,0.01784491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00431809,"threshold_uncertainty_score":0.01241666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827435196548375,"score_gpt":0.2771084918569842,"score_spread":0.2588341398915004,"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."}}