{"id":"W4323926098","doi":"10.59035/uwcb7557","title":"Side channel attack performance of correlation power analysis method in noise","year":2023,"lang":"en","type":"article","venue":"International Journal on Information Technologies and Security","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mitel (Canada)","funders":"","keywords":"Side channel attack; Power analysis; Encryption; Computer science; Advanced Encryption Standard; Noise (video); Channel (broadcasting); Power (physics); Software; Computer security; Cryptography; Embedded system; Electronic engineering; Telecommunications; Engineering; Operating system; Artificial intelligence","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":[0.001403535,0.0006930745,0.0005039472,0.0009206763,0.0005069855,0.0009102863,0.0004495843,0.0007444424,0.002261776],"category_scores_gemma":[0.007408332,0.0001736877,0.0003821544,0.000626642,0.000718242,0.001190056,0.0006461636,0.0006884653,0.0007065268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004965355,"about_ca_system_score_gemma":0.0003363024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006980846,"about_ca_topic_score_gemma":0.0003923684,"domain_scores_codex":[0.9974256,0.0006547832,0.00009182757,0.0004244043,0.001190195,0.0002131251],"domain_scores_gemma":[0.9947492,0.003491585,0.0003207257,0.0005494179,0.0007791469,0.0001099194],"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":[0.007394247,0.000467747,0.01656687,0.0005422489,0.0004333792,0.001108562,0.0008968734,0.1527315,0.3358483,0.01563047,0.002700149,0.4656796],"study_design_scores_gemma":[0.00006143438,0.001523743,0.007906185,0.00006855468,0.0001086916,0.001362047,0.0001302736,0.7445368,0.2385036,0.002734902,0.002990183,0.000073492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5651813,0.001266781,0.418517,0.0003211232,0.0002009273,0.00008297212,0.00009260183,0.002337764,0.01199961],"genre_scores_gemma":[0.9704479,0.0002473823,0.02673074,0.00007762626,0.00004098598,0.00002845375,0.00007822063,0.0001506517,0.002198077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002261776,"threshold_uncertainty_score":0.007566452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601302734803232,"score_gpt":0.309364738437383,"score_spread":0.2933517110893507,"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."}}