{"id":"W3045801415","doi":"10.1109/icc40277.2020.9149305","title":"Dynamic Reduced-Round Cryptography for Energy-Efficient Wireless Communication of Smart IoT Devices","year":2020,"lang":"en","type":"article","venue":"","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Encryption; Computer network; Cryptography; Energy consumption; Embedded system; Efficient energy use; Wireless; Cryptographic protocol; Computer security; Operating system; Engineering; Electrical engineering","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":[0.0001943734,0.0001113972,0.0001632466,0.0001327195,0.0001841444,0.00008941678,0.0008008868,0.00003733625,0.00001961279],"category_scores_gemma":[0.000009736415,0.0001045537,0.0001390017,0.0008381273,0.0000725399,0.0001097424,0.000184125,0.00005351679,0.000001098147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001206866,"about_ca_system_score_gemma":0.00004281957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000193482,"about_ca_topic_score_gemma":0.0004541062,"domain_scores_codex":[0.9989455,0.00005765179,0.0003444871,0.0002698209,0.0001973472,0.0001852155],"domain_scores_gemma":[0.9989682,0.000144112,0.0001540519,0.0004805249,0.0001683847,0.00008471378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000170563,0.0001668798,0.0004196356,0.00005119874,0.0000472273,2.152625e-7,0.002342341,0.0001624146,0.003139015,0.9724061,0.000664684,0.02058317],"study_design_scores_gemma":[0.0009430812,0.0003701124,0.003292088,0.00002726155,0.00002926011,0.000002218763,0.0009211464,0.9643497,0.005907761,0.01253759,0.01128059,0.0003392345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.287872,0.0001293251,0.7089437,0.002458994,0.00005722532,0.0001800533,0.00001240473,0.00008016515,0.0002660749],"genre_scores_gemma":[0.903146,0.00002608472,0.09616373,0.0005824459,0.000006878355,0.00004292702,0.00002177395,0.000006384924,0.000003791104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9641873,"threshold_uncertainty_score":0.4263577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429021958726869,"score_gpt":0.2824846418289396,"score_spread":0.2581944222416709,"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."}}