{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001883141,0.000114482,0.0001269667,0.0002212533,0.0002327246,0.0001559666,0.0005474683,0.00004010428,0.00001848989],"category_scores_gemma":[0.00001169738,0.0001171895,0.00007486216,0.0007205043,0.00002594127,0.0002287702,0.0002539998,0.0001338732,0.00002513474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003479754,"about_ca_system_score_gemma":0.0000607567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006150387,"about_ca_topic_score_gemma":0.00006690875,"domain_scores_codex":[0.9990191,0.00003292138,0.0002120153,0.0002924968,0.0001423639,0.0003010809],"domain_scores_gemma":[0.9993687,0.00006358512,0.00004504927,0.0004105293,0.00005637185,0.00005575277],"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":[0.000002451366,0.0001557313,0.0008164319,0.00003219748,0.00007859538,0.00003348227,0.002170091,0.00009311716,0.0002929515,0.1025209,0.01082691,0.8829771],"study_design_scores_gemma":[0.002997878,0.0001720628,0.02463105,0.0001485928,0.00003788049,0.00002423622,0.0008389995,0.595788,0.01108292,0.1023556,0.260686,0.001236861],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0438406,0.00021414,0.9429898,0.001495042,0.0006062135,0.0001792429,0.000007779709,0.0002730315,0.01039414],"genre_scores_gemma":[0.9395485,0.00007684823,0.05777116,0.00216179,0.00009043459,0.00003671421,0.00001734894,0.000008527983,0.0002886578],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8957079,"threshold_uncertainty_score":0.477885,"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."}}