{"id":"W4410955891","doi":"10.3390/cryptography9020037","title":"Enhancing Security for Resource-Constrained Smart Cities IoT Applications: Optimizing Cryptographic Techniques with Effective Field Multipliers","year":2025,"lang":"en","type":"article","venue":"Cryptography","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Prince Sattam bin Abdulaziz University","keywords":"Computer science; Cryptography; Software deployment; Computer security; Distributed computing; Encryption; Resource efficiency; Reconfigurability; Embedded system; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007008273,0.0004684014,0.0004925914,0.001528411,0.0008330023,0.0004902685,0.001231407,0.0002650196,0.000007153731],"category_scores_gemma":[0.00009159425,0.0004399875,0.0004860033,0.003430355,0.0004774833,0.0005330364,0.0002738982,0.0004566664,0.000001368219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003141686,"about_ca_system_score_gemma":0.0001021554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005047629,"about_ca_topic_score_gemma":0.00007583682,"domain_scores_codex":[0.9973052,0.0001309546,0.0004995801,0.001071419,0.0003033028,0.0006895897],"domain_scores_gemma":[0.9967533,0.001345762,0.0002163794,0.00123149,0.000279691,0.0001733793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004492354,0.0003739146,0.004712492,0.0006505768,0.0005347993,0.000006158555,0.002159085,0.0000188097,0.002969779,0.9124665,0.0025591,0.07309957],"study_design_scores_gemma":[0.004440896,0.002233545,0.002304826,0.001502178,0.0003708181,0.0000312635,0.004119798,0.003071339,0.2169006,0.5329408,0.229433,0.002650976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005554667,0.00101946,0.9847624,0.0004490874,0.0001235683,0.00292073,0.00005047163,0.001082179,0.004037469],"genre_scores_gemma":[0.3271286,0.0001046107,0.6667343,0.001380442,0.0001067494,0.004462361,0.00004953911,0.00003079427,0.0000026197],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3795257,"threshold_uncertainty_score":0.9998052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0044277253413651,"score_gpt":0.2360464763528708,"score_spread":0.2316187510115057,"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."}}