{"id":"W2133990218","doi":"10.1109/isqed.2009.4810299","title":"Side channel aware leakage management in nanoscale Cryptosystem-on-Chip (CoC)","year":2009,"lang":"en","type":"article","venue":"","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Side channel attack; Cryptosystem; Leakage (economics); Chip; Transistor; Electrical engineering; Quantum tunnelling; Computer science; Channel (broadcasting); Voltage; Electronic engineering; Cryptography; Engineering; Computer security; Materials science; Optoelectronics","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":[0.0002614121,0.0002640809,0.00033818,0.0002822248,0.0004125084,0.0004821727,0.0004974432,0.0003086751,0.0008125563],"category_scores_gemma":[0.0008748786,0.00012798,0.0001919934,0.0003797046,0.0004032697,0.00122822,0.0003480751,0.0002979687,0.0001747796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004947194,"about_ca_system_score_gemma":0.0003980142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001667532,"about_ca_topic_score_gemma":0.0004512085,"domain_scores_codex":[0.9997007,0.00005895865,0.00001618219,0.00005115484,0.0001141523,0.00005885439],"domain_scores_gemma":[0.9993319,0.0002100209,0.0001816867,0.0001408875,0.000116793,0.00001870523],"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":[0.0006036264,0.0002441243,0.007809223,0.0007496693,0.0001157495,0.0006119404,0.0003426207,0.09958024,0.6338452,0.02627078,0.002166456,0.2276604],"study_design_scores_gemma":[0.0000339264,0.001134006,0.003223749,0.00005738147,0.0001544183,0.001396122,0.0001347416,0.4200844,0.5584479,0.006348655,0.00894712,0.00003752972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7398393,0.004173123,0.245454,0.0004886083,0.0001019379,0.00008815106,0.00007865069,0.001129928,0.008646391],"genre_scores_gemma":[0.981236,0.0003301794,0.01766179,0.00005520594,0.0000149901,0.00001301099,0.00001764659,0.00002614083,0.0006450625],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0008125563,"threshold_uncertainty_score":0.003589451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162428367950997,"score_gpt":0.2753978144323223,"score_spread":0.2537735307528123,"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."}}