{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007227981,0.00009546077,0.0001598876,0.002241615,0.00009283537,0.0001619845,0.0005328625,0.00008431714,0.00001135665],"category_scores_gemma":[0.000128304,0.00008411797,0.0000885651,0.001694709,0.00004082911,0.001612008,0.0002016869,0.0002584866,0.000009198713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006645176,"about_ca_system_score_gemma":0.00003168033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002174155,"about_ca_topic_score_gemma":0.00001753225,"domain_scores_codex":[0.9987269,0.00003187942,0.0005480821,0.0001072639,0.0004360259,0.0001498566],"domain_scores_gemma":[0.9990768,0.000106097,0.0003459813,0.0001653607,0.0002796577,0.0000260893],"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":[0.0002403446,0.0002383836,0.08213796,0.0000672954,0.0009303946,0.00003688167,0.02217002,0.08989885,0.0001046871,0.4004492,0.002042071,0.4016839],"study_design_scores_gemma":[0.0007054881,0.0001873953,0.09788553,0.00003635689,0.00001581837,0.00003418143,0.002769473,0.8810298,0.0005314383,0.01422582,0.002414761,0.000163972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8578144,0.00002147135,0.1389696,0.002077863,0.0003504124,0.0001007276,0.0000216506,0.0001684067,0.0004754101],"genre_scores_gemma":[0.9967768,0.0005915377,0.002480884,0.0001063528,0.000007038809,0.000008067178,0.00002444006,0.000001721487,0.000003179563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7911309,"threshold_uncertainty_score":0.3430232,"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."}}