{"id":"W4304633975","doi":"10.1007/978-3-031-18458-1_10","title":"Implementation of Lightweight Cryptographic Algorithms in IoT Devices and Sensor Networks","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Block cipher; Cryptography; The Internet; Internet of Things; Wireless sensor network; Architecture; Computer security; Cipher; Confidentiality; Block (permutation group theory); Computer network; Embedded system; Encryption; World Wide Web; Mathematics","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":[0.0006849953,0.0003910169,0.0007057711,0.0004431993,0.0001419857,0.000180166,0.000349943,0.000384092,0.000006864445],"category_scores_gemma":[0.000005600926,0.0003570143,0.00008257898,0.0003045147,0.00006113743,0.00009861301,0.0003500691,0.0007183407,2.199868e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005511082,"about_ca_system_score_gemma":0.00003581827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005380788,"about_ca_topic_score_gemma":0.0004160811,"domain_scores_codex":[0.9977333,0.0001313046,0.0007695449,0.0006576118,0.0002834504,0.000424804],"domain_scores_gemma":[0.9986021,0.000483764,0.0004451577,0.0003423778,0.00005217445,0.00007441395],"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":[0.00004804496,0.00005420536,0.05944156,0.00103011,0.000324519,0.0003106965,0.004900937,0.3789704,0.00001055925,0.03840028,0.000593547,0.5159151],"study_design_scores_gemma":[0.0006165351,0.0001785444,0.002932705,0.0007982492,0.00003069454,0.00007699792,0.0000220519,0.9697827,0.000002297102,0.002125792,0.02279907,0.0006343523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004553067,0.07847603,0.8998233,0.0002452089,0.01211208,0.001339479,0.000003503065,0.0001079271,0.003339395],"genre_scores_gemma":[0.9862028,0.003066577,0.004694544,0.0002857817,0.005269287,0.00005279171,0.00005509879,0.00009961418,0.0002734938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9816498,"threshold_uncertainty_score":0.9998882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313633481815496,"score_gpt":0.2406427926135516,"score_spread":0.2275064577953967,"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."}}