{"id":"W4308825006","doi":"10.1109/cas56377.2022.9934500","title":"Encryption Algorithm using Linear Hybrid Cellular Automaton","year":2022,"lang":"en","type":"article","venue":"","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research, Innovation and Science","keywords":"Computer science; Encryption; VHDL; Correctness; Hardware description language; Algorithm; Key (lock); Stream cipher; Field-programmable gate array; Block cipher; Symmetric-key algorithm; Cryptography; Theoretical computer science; Embedded system; Public-key cryptography; Computer network; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001400106,0.0002642038,0.0003677806,0.0002764588,0.0004551942,0.000639817,0.0005188863,0.0004005822,0.001858212],"category_scores_gemma":[0.0003283766,0.0001187259,0.0005189961,0.0002191865,0.0003499225,0.0003856898,0.0003591656,0.0003207496,0.0004496587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005025106,"about_ca_system_score_gemma":0.0004790793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003317374,"about_ca_topic_score_gemma":0.002229023,"domain_scores_codex":[0.9997707,0.00003886683,0.00002079368,0.00006349512,0.00007300776,0.00003309506],"domain_scores_gemma":[0.9998477,0.00004593089,0.00001622068,0.00002923579,0.00005108148,0.000009765457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002815458,0.000119065,0.002389962,0.0002529369,0.0001217026,0.0006399716,0.0002594499,0.6891436,0.1208114,0.07645862,0.00234042,0.1071813],"study_design_scores_gemma":[0.00002705168,0.00008138613,0.0002493679,0.000009918142,0.00002353552,0.0001483527,0.00002044909,0.973656,0.01705604,0.005197855,0.003512054,0.00001805395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1109276,0.0003370049,0.8674012,0.0002607777,0.0001381683,0.0001405437,0.0001891433,0.00253089,0.01807469],"genre_scores_gemma":[0.8790735,0.0001980365,0.1154332,0.00006967512,0.0000133627,0.0001474894,0.0001372594,0.00004588134,0.004881477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003317374,"threshold_uncertainty_score":0.006596148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687637262773136,"score_gpt":0.2410034415789688,"score_spread":0.2241270689512375,"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."}}