{"id":"W4288070531","doi":"10.18280/ts.390305","title":"Optimized Piccolo Lightweight Block Cipher: Area Efficient Implementation","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Block cipher; CBC-MAC; Embedded system; Power consumption; Cipher; Cryptography; Block (permutation group theory); Resource consumption; Computer hardware; Parallel computing; Computer engineering; Algorithm; Power (physics); Encryption; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001957712,0.0004589341,0.0003229284,0.0005628845,0.0002446026,0.0006468056,0.0005786325,0.0002962589,0.002967199],"category_scores_gemma":[0.0006621091,0.0001491783,0.0002147874,0.0004985361,0.0003138126,0.0008509094,0.0003622408,0.0003455346,0.0009604791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005643045,"about_ca_system_score_gemma":0.001021856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007234167,"about_ca_topic_score_gemma":0.001226365,"domain_scores_codex":[0.9997414,0.0000344155,0.0000236509,0.00003708297,0.00009767665,0.00006575436],"domain_scores_gemma":[0.9996907,0.00005231241,0.00006824472,0.00008549655,0.00008386129,0.00001932503],"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":[0.002189051,0.0002424102,0.004548055,0.0006334128,0.0001201438,0.00079226,0.0001778648,0.09274449,0.4727805,0.06946404,0.01147658,0.3448313],"study_design_scores_gemma":[0.0003235326,0.001051611,0.00300431,0.00007213945,0.00009955585,0.001656425,0.00007014623,0.4449298,0.4923858,0.008246099,0.04808488,0.00007564433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2794578,0.002446123,0.6848432,0.0004437295,0.0002202273,0.0004355156,0.000462653,0.003889587,0.02780108],"genre_scores_gemma":[0.8538535,0.0005137781,0.1364837,0.0001289559,0.00004464475,0.0001614594,0.0004263412,0.0001302825,0.008257304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002967199,"threshold_uncertainty_score":0.009926319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629848083923148,"score_gpt":0.2603557130619845,"score_spread":0.244057232222753,"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."}}