{"id":"W4415369685","doi":"10.3390/telecom6040080","title":"Securing RSA Algorithm Against Side Channel Attacks","year":2025,"lang":"en","type":"article","venue":"Telecom","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Hamming weight; Side channel attack; Cryptography; Modular exponentiation; Exponentiation; Hamming code; Public-key cryptography; Hamming distance","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":[0.0008999822,0.0005451906,0.000639608,0.000752133,0.0004020026,0.000922591,0.0005757522,0.0005955112,0.002500148],"category_scores_gemma":[0.005931132,0.0002222052,0.0003859795,0.0004860795,0.0005275607,0.001576504,0.0007251263,0.0006983815,0.002443688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002680657,"about_ca_system_score_gemma":0.0006368209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001102358,"about_ca_topic_score_gemma":0.000117409,"domain_scores_codex":[0.9979535,0.000423234,0.0001718454,0.0002577117,0.0009603115,0.0002333297],"domain_scores_gemma":[0.9964923,0.0007143484,0.0005874402,0.001609254,0.0005246432,0.00007197561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002237718,0.0003220897,0.006721337,0.0005489244,0.0001726597,0.0006678212,0.0003365818,0.07147268,0.4098659,0.03286089,0.007423845,0.4673696],"study_design_scores_gemma":[0.0001965441,0.001289175,0.002905555,0.0000936197,0.00008566507,0.002977262,0.00008212779,0.3505873,0.6107035,0.01197638,0.01900699,0.00009591151],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4231767,0.001920224,0.5410305,0.0006176101,0.000307214,0.0003218391,0.0004639112,0.01158366,0.02057828],"genre_scores_gemma":[0.8950415,0.0002850317,0.1014627,0.00009239726,0.000059635,0.0001016942,0.0002674634,0.0001957818,0.002493983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002500148,"threshold_uncertainty_score":0.008363843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069534291421226,"score_gpt":0.2765207636829187,"score_spread":0.2658254207687065,"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."}}