{"id":"W7111087712","doi":"10.1109/icjece.2025.3628528","title":"Design and Implementation of a Low-Power Memristor-Based Piccolo-80 Lightweight Encryption Algorithm Using VTM Logic Gates","year":2025,"lang":"","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Encryption; Cryptography; Energy consumption; Hardware security module; Stateful firewall; Implementation; CMOS; Efficient energy use; Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00007531906,0.0002631362,0.0001944023,0.0002504455,0.0002122246,0.0004824083,0.0008535607,0.0002796017,0.001550851],"category_scores_gemma":[0.0001810495,0.0001132006,0.0001977014,0.0001526271,0.0001822952,0.0004626768,0.0002272493,0.0002455598,0.0003984669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005096974,"about_ca_system_score_gemma":0.0004334375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005245216,"about_ca_topic_score_gemma":0.0007593296,"domain_scores_codex":[0.9998915,0.00001057897,0.000009959223,0.00001893656,0.00004807396,0.00002091108],"domain_scores_gemma":[0.9999156,0.00001184632,0.00002207628,0.00001562583,0.00002740278,0.000007444227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000316028,0.0001463846,0.001605632,0.000516606,0.00009832645,0.0008523419,0.0001919726,0.02798503,0.7458848,0.02829105,0.004677953,0.1894339],"study_design_scores_gemma":[0.00008700717,0.0008034499,0.001425861,0.00005879182,0.00007680846,0.001345095,0.00005295088,0.2963647,0.6579383,0.002642351,0.03915371,0.00005109067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3330436,0.001839976,0.618466,0.0009174791,0.0003286573,0.0004645192,0.0002743333,0.003497758,0.04116765],"genre_scores_gemma":[0.9167159,0.0002962509,0.07716713,0.0002043984,0.00002290079,0.0001006082,0.00009781989,0.00006001142,0.005334913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001550851,"threshold_uncertainty_score":0.005188107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009043555704101109,"score_gpt":0.2249391735203,"score_spread":0.2158956178161989,"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."}}